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Python Projects Related with machine learning

• 1. AiLearning
  under GNU General Public License v3.0 license
• AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
• 2. ChatterBot
  under BSD 3-Clause "New" or "Revised" License license
• ChatterBot is a machine learning, conversational dialog engine for creating chat bots
• 3. ML-From-Scratch
  under MIT License license
• Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
• 4. TensorFlow-Course
  under MIT License license
• Simple and ready-to-use tutorials for TensorFlow
• 5. numpy-ml
  under GNU General Public License v3.0 license
• Machine learning, in numpy
• 6. imgaug
  under MIT License license
• Image augmentation for machine learning experiments.
• 7. deploying-machine-learning-models
  under BSD 3-Clause "New" or "Revised" License license
• Example Repo for the Udemy Course "Deployment of Machine Learning Models"
• 8. mlflow
  under Apache License 2.0 license
• Open source platform for the machine learning lifecycle
• 9. MachineLearning_Python
  under MIT License license
• 机器学习算法python实现
• 10. MLAlgorithms
  under MIT License license
• Minimal and clean examples of machine learning algorithms implementations
• 11. PySyft
  under Apache License 2.0 license
• A library for encrypted, privacy preserving machine learning
• 12. DataSciencePython
  under MIT License license
• common data analysis and machine learning tasks using python
• 13. tpot
  under GNU Lesser General Public License v3.0 license
• A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
• 14. rasa_core
  under Apache License 2.0 license
• Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
• 15. machinelearning-az
  under MIT License license
• Repositorio del Curso de Machine Learning de la A a la Z con R y Python
• 16. nni
  under MIT License license
• An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
• 17. 100-Days-of-ML-Code-Chinese-Version
  under MIT License license
• Chinese Translation for Machine Learning Infographics
• 18. doccano
  under MIT License license
• Open source text annotation tool for machine learning practitioner.
• 19. PySimpleGUI
  under GNU Lesser General Public License v3.0 license
• Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 200+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .
• 20. deep-learning-roadmap
  under MIT License license
• :satellite: All You Need to Know About Deep Learning - A kick-starter
• 21. pipelines
  under Apache License 2.0 license
• Machine Learning Pipelines for Kubeflow
• 22. ml-glossary
  under MIT License license
• Machine learning glossary
• 23. sagemaker-python-sdk
  under Apache License 2.0 license
• A library for training and deploying machine learning models on Amazon SageMaker
• 24. Theano-Tutorials
  under MIT License license
• Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
• 25. ml-road
  under MIT License license
• Machine Learning Resources, Practice and Research
• 26. theMLbook
  under MIT License license
• The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
• 27. coursera-ml-py
  under MIT License license
• Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
• 28. PyTorchText
  under MIT License license
• 1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
• 29. AIF360
  under Apache License 2.0 license
• A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
• 30. TensorFlow-Machine-Learning-Cookbook
  under MIT License license
• Code repository for TensorFlow Machine Learning Cookbook by Packt
• 31. OpenNMT-tf
  under MIT License license
• Neural machine translation and sequence learning using TensorFlow
• 32. texar
  under Apache License 2.0 license
• Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow
• 33. auto_ml
  under MIT License license
• [UNMAINTAINED] Automated machine learning for analytics & production
• 34. fuel
  under MIT License license
• A data pipeline framework for machine learning
• 35. MachineLearningStocks
  under MIT License license
• Using python and scikit-learn to make stock predictions
• 36. polyaxon
  under Apache License 2.0 license
• Cloud native machine learning automation platform
• 37. privacy
  under Apache License 2.0 license
• Library for training machine learning models with privacy for training data
• 38. whereami
  under GNU Affero General Public License v3.0 license
• Uses WiFi signals :signal_strength: and machine learning to predict where you are
• 39. bitpredict
  under MIT License license
• Machine learning for high frequency bitcoin price prediction
• 40. Code-Sleep-Python
  under MIT License license
• Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:
• 41. bugbug
  under Mozilla Public License 2.0 license
• Platform for Machine Learning projects on Software Engineering
• 42. mimic3-benchmarks
  under MIT License license
• Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
• 43. tslearn
  under BSD 2-Clause "Simplified" License license
• A machine learning toolkit dedicated to time-series data
• 44. eo-learn
  under MIT License license
• Earth observation processing framework for machine learning in Python
• 45. imylu
  under Apache License 2.0 license
• Pure Python implementation of machine learning algorithms
• 46. dask-ml
  under BSD 3-Clause "New" or "Revised" License license
• Scalable Machine Learning with Dask
• 47. Machine-Learning-for-Beginner-by-Python3
  under MIT License license
• 为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
• 48. sktime
  under BSD 3-Clause "New" or "Revised" License license
• A scikit-learn compatible Python toolbox for machine learning with time series
• 49. NakedTensor
  under Apache License 2.0 license
• Bare bone examples of machine learning in TensorFlow
• 50. petastorm
  under Apache License 2.0 license
• Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
• 51. healthcareai-py
  under MIT License license
• Python tools for healthcare machine learning
• 52. fklearn
  under Apache License 2.0 license
• fklearn: Functional Machine Learning
• 53. ML-and-DM-in-action
  under Apache License 2.0 license
• Share my code during learning machine learning and data mining
• 54. ml-on-gcp
  under Apache License 2.0 license
• Machine Learning on Google Cloud Platform
• 55. ml_implementation
  under MIT License license
• Implementation of Machine Learning Algorithms
• 56. AIX360
  under Apache License 2.0 license
• Interpretability and explainability of data and machine learning models
• 57. ecg-classification
  under GNU General Public License v3.0 license
• Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
• 58. deep-pwning
  under MIT License license
• Metasploit for machine learning.
• 59. LearningX
  under MIT License license
• Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
• 60. Machine-Learning-with-Python
  under MIT License license
• Small scale machine learning projects to understand the core concepts
• 61. ATM
  under MIT License license
• Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
• 62. ai-platform
  under MIT License license
• An open-source platform for automating tasks using machine learning models
• 63. tf-encrypted
  under Apache License 2.0 license
• A Framework for Encrypted Machine Learning in TensorFlow
• 64. lore
  under MIT License license
• Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
• 65. few-shot
  under MIT License license
• Repository for few-shot learning machine learning projects
• 66. LeadQualifier
  under MIT License license
• :dart: Qualify sales leads with machine learning
• 67. ML-Precourse
  under MIT License license
• Welcome to the Lambda School Machine Learning program! This is the first of many coding assignments that will teach you modern Machine Learning.
• 68. mlrose
  under BSD 3-Clause "New" or "Revised" License license
• Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
• 69. scikit-multiflow
  under BSD 3-Clause "New" or "Revised" License license
• A machine learning package for streaming data in Python.
• 70. proteinnet
  under MIT License license
• Standardized data set for machine learning of protein structure
• 71. AlphaPy
  under Apache License 2.0 license
• Automated Machine Learning [AutoML] with Python, scikit-learn, and Keras
• 72. Mastering-Machine-Learning-for-Penetration-Testing
  under MIT License license
• Mastering Machine Learning for Penetration Testing, published by Packt
• 73. poseidon
  under Apache License 2.0 license
• Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.
• 74. finance_ml
  under MIT License license
• Advances in Financial Machine Learning
• 75. python-dlpy
  under Apache License 2.0 license
• The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
• 76. stock-trading-ml
  under GNU General Public License v3.0 license
• A stock trading bot that uses machine learning to make price predictions.
• 77. Statistics-for-Machine-Learning
  under MIT License license
• Statistics for Machine Learning, published by Packt
• 78. fritz-models
  under MIT License license
• Train and deploy machine learning models for mobile apps with Fritz AI.
• 79. MachineLearning
  under Apache License 2.0 license
• Basic MachineLearning algorithm
• 80. data-validation
  under Apache License 2.0 license
• Library for exploring and validating machine learning data
• 81. penn-ml-benchmarks
  under MIT License license
• PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
• 82. CryptoBot
  under Apache License 2.0 license
• High(ish) frequency trading bot for cryptocurrencies, using Machine Learning for future price predictions
• 83. label-maker
  under MIT License license
• Data Preparation for Satellite Machine Learning
• 84. exoplanet-ml
  under Apache License 2.0 license
• Machine learning models and utilities for exoplanet science.
• 85. Pattern-Recognition-for-Forex-Trading
  under MIT License license
• http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/
• 86. antivirus_demo
  under MIT License license
• Antivirus Demo for Fresh Machine Learning #7
• 87. awesome-ml-demos-with-ios
  under MIT License license
• The challenge projects for Inferencing machine learning models on iOS
• 88. suiron
  under MIT License license
• Machine Learning for RC Cars
• 89. texar-pytorch
  under Apache License 2.0 license
• Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation
• 90. Handwritten-Digit-Recognition-using-Deep-Learning
  under MIT License license
• Handwritten Digit Recognition using Machine Learning and Deep Learning
• 91. dota2-predictor
  under MIT License license
• Tool that predicts the outcome of a Dota 2 game using Machine Learning
• 92. Self-Driving-Car-Demo
  under MIT License license
• Self Driving Car Demo for Fresh Machine Learning #6
• 93. time-series-machine-learning
  under Apache License 2.0 license
• Machine learning models for time series analysis
• 94. Digit-Recognizer
  under MIT License license
• A Machine Learning classifier for recognizing the digits for humans.
• 95. holoclean
  under Apache License 2.0 license
• A Machine Learning System for Data Enrichment.
• 96. tensorflow-image-detection
  under MIT License license
• A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.
• 97. CrypTen
  under MIT License license
• A framework for Privacy Preserving Machine Learning
• 98. ann-writer
  under MIT License license
• An artificial machine learning program that attempts to impersonate the writing style of any given text training set
• 99. hyperparameter_hunter
  under MIT License license
• Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
• 100. fuku-ml
  under MIT License license
• Simple machine learning library / 簡單易用的機器學習套件
• 101. NLPBot
  under GNU General Public License v3.0 license
• Simple ChatBot introducing NLP and Machine Learning for Classification of Sentences
• 102. MLfromscratch
  under MIT License license
• Machine Learning algorithm implementations from scratch.
• 103. fairlearn
  under MIT License license
• A Python package to assess and improve fairness of machine learning models.
• 104. NTM-One-Shot-TF
  under MIT License license
• One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
• 105. alibi
  under Apache License 2.0 license
• Algorithms for monitoring and explaining machine learning models
• 106. Python-Machine-Learning-By-Example
  under MIT License license
• Python Machine Learning By Example, published by Packt
• 107. dffml
  under MIT License license
• The easiest way to use Machine Learning
• 108. xai
  under MIT License license
• XAI - An eXplainability toolbox for machine learning
• 109. combo
  under BSD 2-Clause "Simplified" License license
• A Python Toolbox for Machine Learning Model Combination
• 110. rwa
  under BSD 3-Clause "New" or "Revised" License license
• Machine Learning on Sequential Data Using a Recurrent Weighted Average
• 111. MachineLearning_TensorFlow
  under MIT License license
• TensorFlow学习
• 112. color_recognition
  under MIT License license
• :art: Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.
• 113. Azimuth
  under BSD 3-Clause "New" or "Revised" License license
• Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency
• 114. Machine_Learning_A-Z
  under The Unlicense license
• Learning to create Machine Learning Algorithms
• 115. tensor2robot
  under Apache License 2.0 license
• Distributed machine learning infrastructure for large-scale robotics research
• 116. xam
  under MIT License license
• :dart: Personal data science and machine learning toolbox
• 117. ntm
  under GNU Lesser General Public License v3.0 license
• TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
• 118. decaptcha
  under MIT License license
• Recognize captcha by machine learning. 机器学习识别图片验证码（专门应付本科毕业设计）
• 119. my_ml_service
  under MIT License license
• My Machine Learning Web Service
• 120. spark-ml-streaming
  under Apache License 2.0 license
• Visualize streaming machine learning in Spark
• 121. START-Summit-2017-Blockchain-Machine-Learning-Workshop
  under GNU General Public License v3.0 license
• Presentation Material and Sample Code from the DataReply Blockchain and Machine Learning Workshop at START Summit 2017 in Switzerland
• 122. neural-symbolic-machines
  under Apache License 2.0 license
• Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
• 123. stringsifter
  under Apache License 2.0 license
• A machine learning tool that ranks strings based on their relevance for malware analysis.
• 124. image-classification-python
  under MIT License license
• Using global feature descriptors and machine learning to perform image classification
• 125. Deep-Learning-Tinder
  under MIT License license
• Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).
• 126. Machine-Learning-Algorithms
  under MIT License license
• Machine Learning Algorithms, published by Packt
• 127. NP_ML
  under MIT License license
• A tool library of classical machine learning algorithms with only numpy.
• 128. machine_learning_in_application
  under MIT License license
• Practical Machine Learning Implementation In the Application
• 129. udemyML
  under MIT License license
• Templates, code and notes for Kirill Eremenko's Machine Learning course
• 130. mgc-django
  under GNU General Public License v2.0 license
• Machine learning approach to classify music based on genres
• 131. moviebox
  under MIT License license
• Machine learning movie recommending system
• 132. NapkinML
  under MIT License license
• A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
• 133. megnet
  under BSD 3-Clause "New" or "Revised" License license
• Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
• 134. solaris
  under Apache License 2.0 license
• CosmiQ Works Geospatial Machine Learning Analysis Toolkit
• 135. Quant_stock
  under MIT License license
• Stock analysis/prediction model using machine learning
• 136. UCI-ML-API
  under MIT License license
• Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
• 137. mljar-supervised
  under MIT License license
• An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports.
• 138. EvadeML-Zoo
  under MIT License license
• Benchmarking and Visualization Tool for Adversarial Machine Learning
• 139. kaggle-code
  under MIT License license
• A repository for some of the code I use in kaggle data science & machine learning tasks.
• 140. malware-classification
  under GNU General Public License v3.0 license
• Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
• 141. Emotion-Recognition-from-Speech
  under Apache License 2.0 license
• A machine learning application for emotion recognition from speech
• 142. revscoring
  under MIT License license
• A generic, machine learning-based revision scoring system for MediaWiki
• 143. qml
  under MIT License license
• QML: Quantum Machine Learning
• 144. pytorch_active_learning
  under MIT License license
• PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
• 145. SecuML
  under GNU General Public License v2.0 license
• Machine Learning for Computer Security
• 146. scikit-rebate
  under MIT License license
• A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
• 147. mol2vec
  under BSD 3-Clause "New" or "Revised" License license
• Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
• 148. machine_learning_in_action_py3
  under GNU General Public License v3.0 license
• Important book about the machine learning algorithms, and introduces the application of those who use these algorithms and tools, and how to use them in a real environment. This book and other books, behind the other books are long on machine learning theory knowledge, the book happened to be more discussion on how to use coded machine learning algorithms.
• 149. Generative-Adversarial-Networks-Roadmap
  under MIT License license
• The Roadmap to Learn Generative Adversarial Networks (GANs)
• 150. IntroductionToMachineLearningForSecurityPros
  under GNU General Public License v3.0 license
• Example code for our book Introduction to Artificial Intelligence for Security Professionals
• 151. ogb
  under MIT License license
• Benchmark datasets, data loaders, and evaluators for graph machine learning
• 152. NEXT
  under Apache License 2.0 license
• NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-world. Ask better questions. Get better results. Faster. Automated.
• 153. DiCE
  under MIT License license
• Generate Diverse Counterfactual Explanations for any machine learning model.
• 154. android-malware-analysis
  under GNU General Public License v3.0 license
• This project seeks to apply machine learning algorithms to Android malware classification.
• 155. Malicious-Web-Content-Detection-Using-Machine-Learning
  under MIT License license
• Chrome extension for detecting phishing web sites
• 156. seglearn
  under BSD 3-Clause "New" or "Revised" License license
• Python module for machine learning time series:
• 157. OSMDeepOD
  under MIT License license
• OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
• 158. kubernetes-ml-ops
  under MIT License license
• An introduction to machine learning model deployment operations (MLOps) using Python, Docker, Kubernetes and Seldon-Core.
• 159. ml4se
  under GNU General Public License v2.0 license
• Sample scripts of "Machine Learning for Software Engineers"
• 160. MOS-X
  under MIT License license
• Machine learning forecast model for WxChallenge
• 161. Azure-MachineLearning-ClientLibrary-Python
  under MIT License license
• 162. tensorfx
  under Apache License 2.0 license
• TensorFlow framework for training and serving machine learning models
• 163. autosklearn-zeroconf
  under BSD 3-Clause "New" or "Revised" License license
• autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
• 164. ml_code
  under Apache License 2.0 license
• A repository for recording the machine learning code
• 165. image-similarity-clustering
  under MIT License license
• This project allows images to be automatically grouped into like clusters using a combination of machine learning techniques.
• 166. accel-brain-code
  under GNU General Public License v2.0 license
• The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.
• 167. audit-ai
  under MIT License license
• detect demographic differences in the output of machine learning models or other assessments
• 168. fake-news-detection
  under MIT License license
• Final Project for CAPP 30255 Advanced Machine Learning for Public Policy
• 169. guildai
  under Apache License 2.0 license
• Open source experiment tracking and optimization for machine learning
• 170. Forex-and-Stock-Python-Pattern-Recognizer
  under MIT License license
• A machine learning program that is able to recognize patterns inside Forex or stock data
• 171. Clearcut
  under Apache License 2.0 license
• Clearcut is a tool that uses machine learning to help you focus on the log entries that really need manual review
• 172. Machine-Learning-For-Trading
  under Apache License 2.0 license
• Code for course: https://classroom.udacity.com/courses/ud501 (Completed!)
• 173. mlq
  under MIT License license
• Asynchronous queue for machine learning jobs
• 174. M-LOOP
  under MIT License license
• M-LOOP: Machine-learning online optimization package
• 175. mltools
  under MIT License license
• A collection of Machine Learning Tools for object detection and classification on DG imagery.
• 176. dscribe
  under Apache License 2.0 license
• DScribe is a python package for creating machine learning descriptors for atomistic systems.
• 177. NetworkML
  under Apache License 2.0 license
• Machine learning plugins for network traffic
• 178. BreastCancer_Classification
  under MIT License license
• Machine learning classifier for cancer tissues
• 179. monkeylearn-python
  under MIT License license
• Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.
• 180. Building-Machine-Learning-Systems-With-Python-Second-Edition
  under MIT License license
• Building Machine Learning Systems with Python by Packt Publishing
• 181. gunpowder
  under MIT License license
• A library to facilitate machine learning on multi-dimensional images.
• 182. gesture-keyboard
  under MIT License license
• A library to convert accelerometer data into characters using machine learning
• 183. sia-cog
  under MIT License license
• Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.
• 184. cherry
  under MIT License license
• text classification - no machine learning knowledge needed
• 185. sagify
  under MIT License license
• Continuous Machine Learning Training and Deployment on AWS SageMaker
• 186. turtlebot3_machine_learning
  under Apache License 2.0 license
• 187. UCI-Data-Analysis
  under Apache License 2.0 license
• Repository for Analysis of data hosted on UCI Machine Learning Archives
• 188. Face-Recognition
  under MIT License license
• Machine Learning project to recognise faces from an Image just like facebook or video stream
• 189. videocr
  under MIT License license
• Extract hardcoded subtitles from videos using machine learning
• 190. AI_Reader
  under Apache License 2.0 license
• AI Reader for Machine Learning for Hackers #7
• 191. Python-Scripts-Repo-on-Data-Science
  under GNU General Public License v3.0 license
• Data Science, Visualisations, and Machine Learning Cookbook
• 192. PyMO
  under MIT License license
• A library for machine learning research on motion capture data
• 193. Machine-Learning-for-Solar-Energy-Prediction
  under MIT License license
• Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
• 194. aws-media-insights-engine
  under Apache License 2.0 license
• A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.
• 195. world_cup_learning
  under MIT License license
• Just because I wanted to win a bet, some machine learning about the fifa world cup :)
• 196. pykernels
  under MIT License license
• Python library for working with kernel methods in machine learning
• 197. FitML
  under MIT License license
• A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bellman, OpenAI solutions and others. You can watch our agents here http://bit.ly/2Ayj4vA
• 198. machine-learning-diff-private-federated-learning
  under Apache License 2.0 license
• Simulate a federated setting and run differentially private federated learning.
• 199. CatLearn
  under GNU General Public License v3.0 license
• A machine learning environment for atomic-scale modeling in surface science and catalysis.
• 200. homemade-machine-learning-cn
  under MIT License license
• 自制机器学习
• 201. facies_classification_benchmark
  under MIT License license
• The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).
• 202. TopologyLayer
  under MIT License license
• A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
• 203. batchflow
  under Apache License 2.0 license
• BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
• 204. Mastering-Machine-Learning-Algorithms
  under MIT License license
• Mastering Machine Learning Algorithms, published by Packt
• 205. DirectML
  under MIT License license
• DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
• 206. pylearn
  under MIT License license
• Bayesian machine learning in Python
• 207. malware-classification
  under MIT License license
• Data and code for malware classification using machine learning (for fun, not production)
• 208. self-driving
  under MIT License license
• Machine learning models for self-driving cars
• 209. Algorithmic-Trading
  under GNU General Public License v3.0 license
• Algorithmic trading using machine learning.
• 210. Speculator
  under MIT License license
• API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis
• 211. MachineLearningSamples-ChurnPrediction
  under MIT License license
• MachineLearningSamples-ChurnPrediction
• 212. verde
  under BSD 3-Clause "New" or "Revised" License license
• Processing and interpolating spatial data with a twist of machine learning
• 213. GraphWaveMachine
  under GNU General Public License v3.0 license
• A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
• 214. retentioneering-tools
  under Mozilla Public License 2.0 license
• Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.
• 215. 2-scikit-learn-intro
  under Apache License 2.0 license
• 利用Scikit Learn对秒级股票数据进行建模预测
• 216. SchNet
  under MIT License license
• SchNet - a deep learning architecture for quantum chemistry
• 217. MorphL-Community-Edition
  under Apache License 2.0 license
• MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization
• 218. nesmdb
  under MIT License license
• The NES Music Database: use machine learning to compose music for the Nintendo Entertainment System!
• 219. debin
  under Apache License 2.0 license
• Machine Learning to Deobfuscate Binaries
• 220. ML-Recipes
  under BSD 2-Clause "Simplified" License license
• A collection of stand-alone Python machine learning recipes
• 221. dowel
  under MIT License license
• A little logger for machine learning research
• 222. aws-step-functions-data-science-sdk-python
  under Apache License 2.0 license
• Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
• 223. PyCon2015
  under BSD 3-Clause "New" or "Revised" License license
• Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/367/
• 224. MLBlocks
  under MIT License license
• A library for composing end-to-end tunable machine learning pipelines.
• 225. aetros-cli
  under MIT License license
• AETROS CLI + SDK. Command line application to manage/monitor machine learning training in AETROS Trainer
• 226. dtnn
  under MIT License license
• Deep Tensor Neural Network
• 227. speedml
  under MIT License license
• Speedml is a Python package to speed start machine learning projects.
• 228. MachineLearningSamples-BiomedicalEntityExtraction
  under MIT License license
• MachineLearningSamples-BiomedicalEntityExtraction
• 229. MLPrimitives
  under MIT License license
• Primitives for machine learning and data science.
• 230. Machine-Learning-Algorithms-Second-Edition
  under MIT License license
• Machine Learning Algorithms Second Edition, published by Packt
• 231. machine-learning
  under GNU General Public License v3.0 license
• machine learning examples in python
• 232. NumerAPI
  under MIT License license
• automatically download and upload data for the numer.ai machine learning competition
• 233. fractional-differentiation-time-series
  under MIT License license
• As described in Advances of Machine Learning by Marcos Prado.
• 234. pyspark-twitter-stream-mining
  under MIT License license
• Real-time Machine Learning with Apache Spark on Twitter Public Stream
• 235. Convolutional-Networks-for-Stock-Predicting
  under MIT License license
• This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by Ashwin Siripurapu from Stanford University but in a different way.
• 236. PyMLProjects
  under MIT License license
• Random repo of machine learning ideas orchestrated in python
• 237. MachineLearningNote
  under MIT License license
• 用python实现机器学习各种经典算法
• 238. DataShapley
  under MIT License license
• Data Shapley: Equitable Valuation of Data for Machine Learning
• 239. axcell
  under Apache License 2.0 license
• Tools for extracting tables and results from Machine Learning papers
• 240. eggroll
  under Apache License 2.0 license
• A Simple High Performance Compututing Framework for [Federated] Machine Learning
• 241. wabbit_wappa
  under MIT License license
• Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
• 242. DL4H
  under MIT License license
• Deep learning for hackers: a hands-on approach to machine learning and deep learning.
• 243. MAST-ML
  under MIT License license
• MAterials Simulation Toolkit for Machine Learning (MAST-ML)
• 244. AdversarialDNN-Playground
  under Apache License 2.0 license
• VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
• 245. aletheia
  under MIT License license
• Image steganalysis using state-of-the-art machine learning techniques
• 246. MachineLearningSamples-ImageClassificationUsingCntk
  under MIT License license
• Image Classification using Azure Machine Learning workbench
• 247. parfit
  under MIT License license
• A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
• 248. Echo
  under MIT License license
• Python package containing all custom and SOTA mathematical backend algorithms used in Machine Learning.
• 249. jetson
  under MIT License license
• Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
• 250. ImundboQuant
  under MIT License license
• Machine learning in Python for stock market and forex market predictions (fully functional)
• 251. highdimensional-decision-boundary-plot
  under MIT License license
• Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
• 252. 1-pandas-intro
  under Apache License 2.0 license
• 利用Pandas分析离线股票数据(秒级记录)
• 253. ml-rest
  under The Unlicense license
• REST API (and possible UI) for Machine Learning workflows
• 254. Insight_Project_Framework
  under MIT License license
• Framework for machine learning projects at Insight Data Science
• 255. rafiki
  under Apache License 2.0 license
• Rafiki is a distributed system that supports training and deployment of machine learning models using AutoML, built with ease-of-use in mind.
• 256. aws-ml-data-lake-workshop
  under Apache License 2.0 license
• As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.
• 257. surround
  under BSD 3-Clause "New" or "Revised" License license
• Surround is a framework for building machine learning pipelines in Python, https://surround.readthedocs.io/en/latest/
• 258. qml
  under Apache License 2.0 license
• Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
• 259. BlackBoxAuditing
  under Apache License 2.0 license
• Research code for auditing and exploring black box machine-learning models.
• 260. SpectralMachine
  under GNU General Public License v3.0 license
• Machine learning software for rapid analysis of scientific spectra.
• 261. sofa
  under Apache License 2.0 license
• SOFA: A Cross-framework Performance Profiler for Heterogeneous Computing Systems and Distributed Machine Learning Systems.
• 262. Machine-Learning
  under MIT License license
• Basic algorithms about machine learnig
• 263. AmusingPythonCodes
  under MIT License license
• Interesting python codes to tackle simple machine/deep learning tasks
• 264. MachineLearningSamples-SentimentAnalysis
  under MIT License license
• MachineLearningSamples-SentimentAnalysis
• 265. Fundamentals-of-Machine-Learning-with-scikit-learn
  under MIT License license
• Fundamentals of Machine Learning with Scikit-Learn
• 266. AMLSim
  under Apache License 2.0 license
• The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .
• 267. interpret-text
  under MIT License license
• A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
• 268. MLSS
  under GNU General Public License v2.0 license
• Machine Learning Summer School
• 269. HoloClean-Legacy-deprecated
  under Apache License 2.0 license
• A Machine Learning System for Data Enrichment.
• 270. Sarcasm-Detection
  under MIT License license
• Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
• 271. PyBioMed
  under BSD 3-Clause "New" or "Revised" License license
• machine learning, molecular descriptor
• 272. gradio-UI
  under Apache License 2.0 license
• Rapidly create UIs for prototyping your machine learning model in 3 minutes
• 273. audiomentations
  under MIT License license
• A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
• 274. nuke-ML-server
  under Apache License 2.0 license
• A Nuke client plug-in which connects to a Python server to allow Machine Learning inference in Nuke.
• 275. mlcomp
  under Apache License 2.0 license
• Distributed DAG (Directed acyclic graph) framework for machine learning with UI
• 276. sotabench-eval
  under Apache License 2.0 license
• Easily evaluate machine learning models on public benchmarks
• 277. sentdex_scikit_machine_learning_tutorial_for_investing
  under MIT License license
• sentdex's scikit machine learning tutorial for investing
• 278. Load-Forecasting
  under MIT License license
• Forecasting average total load on the Elia electric grid via machine learning
• 279. stacked_generalization
  under Apache License 2.0 license
• Library for machine learning stacking generalization.
• 280. machine_feeling
  under MIT License license
• An Emoji-ful introduction to computer vision and machine learning.
• 281. QMLT
  under Apache License 2.0 license
• The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).
• 282. ML-lib
  under MIT License license
• An extensive machine learning library, made from scratch (Python).
• 283. Autoencoder-TensorBoard-t-SNE
  under MIT License license
• Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.
• 284. BerePi
  under BSD 2-Clause "Simplified" License license
• Data Collection based on Wireless Sensor Network (WSN), RaspberryPi, for Machine Learning
• 285. sci-pype
  under Apache License 2.0 license
• A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
• 286. machine-learning-note
  under MIT License license
• examples for machine learning methods
• 287. FCIS-Machine-Learning-2017
  under Apache License 2.0 license
• This repository contains all the materials of the Machine Learning course that is held in Faculty of Computers and Information Sciences - Ain Shams University. Provided by acmASCIS Student Chapter.
• 288. numerapi
  under MIT License license
• Python API and command line interface for the numer.ai machine learning competition
• 289. madminer
  under MIT License license
• Machine learning–based inference toolkit for particle physics
• 290. shavenet
  under MIT License license
• Predict when you last shaved with machine learning
• 291. EvaluatingDPML
  under MIT License license
• This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
• 292. mlops-amazon-sagemaker-devops-with-ml
  under Apache License 2.0 license
• Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
• 293. twitch-troll-detection
  under MIT License license
• Unsupervised machine learning methods to detect and classify anomalies in streaming data. We apply this to the viral event, TwitchPlaysPokemon, and attempt to identify trolls in a live IRC chat.
• 294. py_isear_dataset
  under GNU General Public License v3.0 license
• The International Survey on Emotion Antecedents and Reactions as a python dataset for MachineLearning
• 295. cortex
  under BSD 3-Clause "New" or "Revised" License license
• A machine learning library for PyTorch
• 296. Ensemble-Machine-Learning
  under MIT License license
• Code repository for Ensemble Machine Learning, published by Packt
• 297. emlearn
  under MIT License license
• Machine Learning inference engine for Microcontrollers and Embedded devices
• 298. cxplain
  under MIT License license
• Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
• 299. Cerebrum
  under MIT License license
• Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data
• 300. default-credit-card-prediction
  under MIT License license
• Machine Learning Project for predicting Credit Card Defaults
• 301. ecg-classification
  under MIT License license
• ECG signal classification using Machine Learning
• 302. Predicting-Health-Insurance-Cost
  under BSD 3-Clause "New" or "Revised" License license
• Predicting health insurance cost from Morality data using Machine Learning techniques
• 303. 5-elasticsearch-logstash-kibana
  under Apache License 2.0 license
• 利用Elasticsearch, LogStash, Kibana集群实现数据可视化
• 304. stock-predictions
  under MIT License license
• Using TensorFlow machine learning and Twitter sentiment analysis to predict stock trends
• 305. 5gm-data
  under GNU General Public License v3.0 license
• Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
• 306. twitter-stock-recommendation
  under MIT License license
• Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
• 307. mantra
  under Apache License 2.0 license
• A high-level, rapid development framework for machine learning projects
• 308. vergeml
  under MIT License license
• Machine Learning Environment - alpha version
• 309. Mastering-Machine-Learning-Algorithms-Second-Edition
  under MIT License license
• Mastering Machine Learning Algorithms Second Edition, published by Packt
• 310. ProFET
  under GNU General Public License v3.0 license
• ProFET: Protein Feature Engineering Toolkit for Machine Learning
• 311. Machine_Learning
  under GNU General Public License v2.0 license
• Implementation of classical algorithms in Machine Learning
• 312. Pic-Numero
  under MIT License license
• Project exploring counting objects in images using image analysis and machine learning.
• 313. PythonMachineLearningExamples
  under MIT License license
• Example Code from the book Python Machine Learning, using a database of character images.
• 314. ml-pyxis
  under MIT License license
• Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.
• 315. 4-rabbitmq
  under Apache License 2.0 license
• 利用RabbitMQ消息队列架设实时机器学习服务
• 316. sparklingml
  under Apache License 2.0 license
• Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)
• 317. tindetheus
  under MIT License license
• Build personalized machine learning models for Tinder using Python
• 318. Hunch
  under Apache License 2.0 license
• Hunch allows users to turn arbitrary machine learning models built using Python into a scalable, hosted service.
• 319. manip-ml
  under MIT License license
• Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'
• 320. VerticaPy
  under Apache License 2.0 license
• VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities. It supports the entire data science life cycle, uses a ‘pipeline’ mechanism to sequentialize data transformation operation (called Virtual Dataframe), and offers multiple graphical rendering possibilities.
• 321. ml_board
  under MIT License license
• a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout the training process
• 322. Ithemal
  under MIT License license
• Instruction THroughput Estimator using MAchine Learning (ITHEMAL)
• 323. MultiTask-MRC
  under BSD 3-Clause "New" or "Revised" License license
• Multitask Learning for Machine Reading Comprehension, NAACL 2019
• 324. MachineLearning
  under Apache License 2.0 license
• Implement Machine learning algorithm by myself using Python 3.6
• 325. Python-Machine-Learning-Cookbook-Second-Edition
  under MIT License license
• 326. catz
  under MIT License license
• A machine learning contest to predict the behavior of catz
• 327. reweighted-ws
  under GNU Affero General Public License v3.0 license
• Implementation of the reweighted wake-sleep machine learning algorithm
• 328. higgs_boson
  under BSD 3-Clause "New" or "Revised" License license
• Solution to the Higgs Boson Machine Learning Challenge on Kaggle
• 329. MachineLearning
  under Apache License 2.0 license
• Machine learning code base of Meng Li
• 330. images-web-crawler
  under GNU General Public License v3.0 license
• This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
• 331. rps-cv
  under MIT License license
• A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
• 332. MachineLearning-MusicGeneration
  under MIT License license
• Using Azure Machine Learning to build a deep learning model for music generation
• 333. chemml
  under BSD 3-Clause "New" or "Revised" License license
• ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
• 334. python-utils
  under MIT License license
• Disorganized collection of useful functions for working with audio and images, especially in the context of machine learning.
• 335. mnist
  under Apache License 2.0 license
• Machine learning for MNIST
• 336. plant-disease-classification
  under MIT License license
• Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.
• 337. Automatic-Identification-and-Counting-of-Blood-Cells
  under GNU General Public License v3.0 license
• A machine learning approach of automatic identification and counting of all types of blood cells: RBCs, WBCs, and Platelets with K-nearest neighbor (KNN) and intersection over union (IOU) based verification.
• 338. eland
  under Apache License 2.0 license
• Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
• 339. python-data-workshop
  under Apache License 2.0 license
• Code and slides for a workshop I'm hosting on Python and its useful data-processing/machine learning capabilities.
• 340. MachineLearning
  under BSD 3-Clause "New" or "Revised" License license
• Materials for the Wednesday Afternoon Machine Learning workshop
• 341. molml
  under MIT License license
• A library to interface molecules and machine learning.
• 342. ELM-tensorflow
  under MIT License license
• Extreme Learning Machine with TensorFlow
• 343. ml-annotate
  under MIT License license
• Use ML-Annotate to label data for machine learning purposes
• 344. ps_pytorch
  under MIT License license
• implement distributed machine learning with Pytorch + OpenMPI
• 345. website-fingerprinting
  under MIT License license
• Deanonymizing Tor or VPN users with website fingerprinting and machine learning.
• 346. Machine-Learning-with-TensorFlow-1.x
  under MIT License license
• Machine Learning with TensorFlow 1.x, published by Packt
• 347. Machine-Learning-Study-Notes
  under Apache License 2.0 license
• 个人机器学习，主要是神经网络方面的学习笔记和代码。
• 348. SIMPLE-NN
  under GNU General Public License v3.0 license
• SIMPLE-NN(SNU Interatomic Machine-learning PotentiaL packagE – version Neural Network)
• 349. beyond_correlation
  under MIT License license
• Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
• 350. sGDML
  under MIT License license
• sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
• 351. ByteCup2018
  under MIT License license
• Byte Cup 2018 International Machine Learning Contest (Rank 6th, 3rd prize)
• 352. QuantConnect-Trading-Strategies
  under MIT License license
• Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques
• 353. predictive-maintenance-using-machine-learning
  under Apache License 2.0 license
• Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker
• 354. SyBrain
  under GNU General Public License v3.0 license
• Scalping Trading Unit and Machine Learning using BitMEX API
• 355. Predict-click-through-rates-on-display-ads
  under MIT License license
• Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page he is visiting, what is the probability that he will click on a given ad? The goal of this challenge is to benchmark the most accurate ML algorithms for CTR estimation. All winning models will be released under an open source license. As a participant, you are given a chance to access the traffic logs from Criteo that include various undisclosed features along with the click labels.
• 356. Foxhound
  under MIT License license
• Scikit learn inspired library for gpu-accelerated machine learning
• 357. ml4dev
  under MIT License license
• Machine Learning for Development: A method to Learn and Identify Earth Features from Satellite Images
• 358. AirTicketPredicting
  under MIT License license
• Machine Learning modeling for Air Ticket Predicting
• 359. OSELM-tensorflow
  under MIT License license
• Online Sequential Extreme Learning Machine with TensorFlow
• 360. django-estimators
  under MIT License license
• a django app to persist and retrieve scikit learn machine learning models
• 361. stock-price-prediction
  under MIT License license
• A practice project for machine learning and stop price prediction
• 362. Startcraft_pysc2_minigames
  under Apache License 2.0 license
• Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
• 363. Coursera-UW-Machine-Learning-Clustering-Retrieval
  under MIT License license
• 364. Stock-Price-Trade-Analyzer
  under GNU General Public License v3.0 license
• This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
• 365. Hands-on-Supervised-Machine-Learning-with-Python
  under MIT License license
• Hands-on Supervised Machine Learning with Python, Published by Packt
• 366. autosubsync
  under MIT License license
• Automatically synchronize subtitles with audio using machine learning
• 367. Python-Machine-Learning-By-Example-Second-Edition
  under MIT License license
• published by Packt
• 368. skelebot
  under MIT License license
• Machine Learning Project Development Tool
• 369. mlearn
  under BSD 3-Clause "New" or "Revised" License license
• Benchmark Suite for Machine Learning Interatomic Potentials for Materials
• 370. macad-gym
  under MIT License license
• Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
• 371. Emotion-Recogniton-from-EEG-Signals
  under MIT License license
• Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented various signal transforming algorithms like the DWT algorithm.
• 372. torchbench
  under Apache License 2.0 license
• Easily benchmark machine learning models in PyTorch
• 373. bdol-ml
  under GNU Lesser General Public License v3.0 license
• A centralized repository for a variety of clean machine learning examples.
• 374. fylearn
  under MIT License license
• Fuzzy machine learning algorithms implementing the scikit-learn interface.
• 375. mlimages
  under MIT License license
• prepare the image data set for machine learning
• 376. dr_droid
  under Apache License 2.0 license
• Analysis of code structure for malware classification with machine learning
• 377. DL4MT
  under BSD 3-Clause "New" or "Revised" License license
• Dual Learning for Machine Translation
• 378. modelforge
  under Apache License 2.0 license
• Python library to share machine learning models easily and reliably.
• 379. tetrisRL
  under MIT License license
• A Tetris environment to train machine learning agents
• 380. MachineLearningSamples-tf
  under MIT License license
• Tensorflow Example
• 381. gentun
  under Apache License 2.0 license
• Hyperparameter tuning for machine learning models using a distributed genetic algorithm
• 382. ML-Antivirus
  under GNU Affero General Public License v3.0 license
• An antivirus powered by machine learning.
• 383. oboe
  under BSD 3-Clause "New" or "Revised" License license
• A model selection system for AutoML (automated machine learning) that uses ideas from collaborative filtering and classical experiment design.
• 384. dragon
  under BSD 2-Clause "Simplified" License license
• A Computation Graph Virtual Machine Based Deep Learning Framework
• 385. 5gm-beam-selection
  under GNU General Public License v3.0 license
• Beam-selection for mmWave MIMO using machine learning
• 386. heat
  under MIT License license
• Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
• 387. Splunking-Crime
  under GNU Affero General Public License v3.0 license
• Splunking Crime using Splunk Machine Learning Toolkit
• 388. redshells
  under MIT License license
• Machine learning tasks which are used with data pipeline library "luigi" and its wrapper "gokart".
• 389. kubeflow-for-poets
  under MIT License license
• Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline
• 390. bayesmark
  under Apache License 2.0 license
• Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
• 391. fullrmc
  under GNU Affero General Public License v3.0 license
• It's a Reverse Monte Carlo (RMC) package, designed with Artificial intelligence and Reinforcement Machine Learning algorithms to solve atomic/molecular model structure by moving its atoms positions until they have the greatest consistency with a set of experimental data and definitions.
• 392. upsilon
  under MIT License license
• Automated Classification of Periodic Variable Stars Using Machine Learning
• 393. multiclass_perceptron
  under MIT License license
• An open implementation of the multi-class perceptron machine learning algorithm for classification. Built and optimized in Python.
• 394. Python-ELM
  under MIT License license
• Extreme learning machine implemented by python3 with scikit-learn interface
• 395. climatelearn
  under GNU General Public License v2.0 license
• El nino forecast based on a few machine learning methods
• 396. pyradigm
  under MIT License license
• Research data management in biomedical and machine learning applications
• 397. armchair-expert
  under MIT License license
• Machine Learning Chatbot
• 398. RiskInDroid
  under MIT License license
• A tool for quantitative risk analysis of Android applications based on machine learning techniques
• 399. Ludus
  under GNU General Public License v3.0 license
• Apply Machine Learning and Game Theory to improve the security of the Turris network of CZ.NIC
• 400. ML-IDS
  under MIT License license
• An IDS implementation using machine learning
• 401. graphAttack
  under MIT License license
• Computational graph library for machine learning
• 402. TensorFlow-OS-ELM
  under MIT License license
• A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
• 403. aipa
  under MIT License license
• AIPA (A.I. Personal Assistant): Speech, Vision, Machine Learning and IoT Based Intelligent Personal Assistant for Ubuntu Based Linux Distributions
• 404. wisconsin-breast-cancer
  under Apache License 2.0 license
• [ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
• 405. ml-ids
  under MIT License license
• :mag: Machine-learning-based intrusion detection
• 406. Model-Playgrounds
  under MIT License license
• A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
• 407. fanci
  under GNU General Public License v3.0 license
• FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation algorithm malware traffic.
• 408. deepsmiles
  under MIT License license
• DeepSMILES - A variant of SMILES for use in machine-learning
• 409. dynamic-kanerva-machines
  under Apache License 2.0 license
• This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics for Generative Memory.
• 410. SmallData-Augmentation-MachineLearning
  under MIT License license
• Text Augmentation for Machine Learning tasks. Small data: How to grow your text dataset for classification ?
• 411. python-online-machine-learning-library
  under BSD 3-Clause "New" or "Revised" License license
• 412. titanic_machine_learning_example
  under MIT License license
• A simple example of how to solve Kaggle's "Titanic: Machine Learning from Disaster" challenge using Python and scikit-learn
• 413. cognitive
  under Apache License 2.0 license
• Machine Learning as a Service
• 414. OS-fuzzing
  under GNU General Public License v3.0 license
• Using Machine Learning to predict the outcome of a zzuf fuzzing campaign
• 415. mlogger
  under MIT License license
• a lightweight and simple logger for Machine Learning
• 416. ipfs-arxiv
  under GNU General Public License v3.0 license
• Machine Learning papers from arXiv hosted on IPFS website.
• 417. Tree-Tensor-Networks-in-Machine-Learning
  under MIT License license
• 418. smart_importer
  under MIT License license
• Augment Beancount importers with machine learning functionality.
• 419. ycimpute
  under Apache License 2.0 license
• A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....
• 420. hypers
  under BSD 3-Clause "New" or "Revised" License license
• hypers: hyperspectral data structure, data analysis and machine learning
• 421. language-modeling
  under MIT License license
• This is machine learning model that is trained to predict next word in the sequence. Model is defined in keras and then converted to tensorflow-js model for the web, check the web implementation at
• 422. IoT-device-type-identification
  under MIT License license
• IoT device type identification using machine learning techniques.
• 423. AutoMunge
  under GNU General Public License v3.0 license
• Artificial Learning, Intelligent Machines
• 424. Hands-On-Machine-Learning-with-OpenCV-4
  under MIT License license
• Hands-On Machine Learning with OpenCV 4, Published by Packt
• 425. machine-learning-for-programming-samples
  under MIT License license
• Samples of ML models learning from source code
• 426. VerifAI
  under BSD 3-Clause "New" or "Revised" License license
• VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
• 427. deep-smoke-machine
  under BSD 3-Clause "New" or "Revised" License license
• Deep learning models and dataset for recognizing industrial smoke emissions
• 428. bark-ml
  under MIT License license
• BARK-ML - Machine Learning for Autonomous Driving
• 429. cvml_project
  under MIT License license
• Projects and application using computer vision and machine learning
• 430. pyFP-Tree
  under MIT License license
• Machine Learning: Frequent pattern tree algorithm in Python
• 431. corpus-to-graph-ml
  under MIT License license
• This repository contains machine learning related work for the corpus to graph project, including Jupyter research notebooks and a Flask webservice to host the model
• 432. partisan-discourse
  under Apache License 2.0 license
• A web application that identifies party in political discourse and an example of operationalized machine learning.
• 433. TensorHive
  under Apache License 2.0 license
• A user-friendly GPU management tool for distributed machine learning workloads
• 434. py_ml_utils
  under Apache License 2.0 license
• Python utilities for Machine Learning competitions
• 435. Trane
  under MIT License license
• Automatically generating machine learning tasks from multi entity, temporal datasets.
• 436. CognitiveAnnotationTool
  under GNU Lesser General Public License v3.0 license
• An automatic webcam based image annotation tool for training quality deep learning/machine learning custom object detectors using state of the art architectures like Retinanet, Faster RCNN, Dlib's DNN mmod etc.
• 437. vision-ML
  under MIT License license
• A R-CNN machine learning model for handling Pop-up window in mobile Apps.
• 438. discomll
  under Apache License 2.0 license
• Disco Machine Learning Library
• 439. fingerprint-securedrop
  under GNU Affero General Public License v3.0 license
• A machine learning data analysis pipeline for analyzing website fingerprinting attacks and defenses.
• 440. numerflow
  under MIT License license
• Data workflows for the numer.ai machine learning competition
• 441. deepmass
  under Apache License 2.0 license
• DeepMass is a suite of tools to enable mass spectrometry data analysis using modern machine learning techniques.
• 442. neuroglia
  under BSD 3-Clause "New" or "Revised" License license
• a Python machine learning library for neurophysiology data
• 443. crypto_predictor
  under MIT License license
• Application that predicts cryptocurrency price changes and provides financial recommendations using Machine Learning models.
• 444. CryptoKnight
  under Apache License 2.0 license
• Cryptographic Dataset Generation & Modelling Framework
• 445. pmf-automl
  under BSD 3-Clause "New" or "Revised" License license
• Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
• 446. maggy
  under Apache License 2.0 license
• Distribution transparent Machine Learning experiments on Apache Spark
• 447. G-SchNet
  under MIT License license
• G-SchNet - a generative model for 3d molecular structures
• 448. hsm
  under MIT License license
• Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
• 449. ebonite
  under Apache License 2.0 license
• machine learning lifecycle framework
• 450. reviewer_experience_prediction
  under MIT License license
• System for scraping video game review data from Steam and analyzing the data in terms of NLP features and other attributes, such as hours played by reviewer, number of times the review was marked helpful, etc. The end result is to enable machine learning experiments with the collected data/features.
• 451. submission
  under MIT License license
• Submission is a Kaggle-like platform to manage machine learning competitions.
• 452. submission
  under MIT License license
• Submission is a Kaggle-like platform to manage machine learning competitions.
• 453. MalwareDetector
  under MIT License license
• Android malware detection by machine learning algorithms
• 454. mpeds
  under MIT License license
• Machine-learning Protest Event Data System
• 455. LoLAnalyzer
  under MIT License license
• Using machine learning to find the best pick in a draft (League of Legends)
• 456. subsync
  under Apache License 2.0 license
• Synchronize your subtitles using machine learning
• 457. spampy
  under MIT License license
• Spam filtering module with Machine Learning using SVM (Support Vector Machines).
• 458. predictatops
  under MIT License license
• Stratigraphic pick prediction via supervised machine-learning
• 459. drifter_ml
  under MIT License license
• A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
• 460. malss
  under MIT License license
• MAchine Learning Support System
• 461. SEM
  under MIT License license
• SEM, a free NLP tool relying on machine learning technologies, especially CRFs.
• 462. user-behavior-anomaly-detector
  under MIT License license
• User anomaly detector based on logs generated by Osquery framework and machine learning to process those logs.
• 463. mlconjug
  under MIT License license
• A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.
• 464. Pyspatialml
  under GNU General Public License v3.0 license
• Machine learning modelling for spatial data
• 465. automl_comparison
  under Apache License 2.0 license
• Comparison of automatic machine learning libraries
• 466. urgent-care-comparative
  under GNU General Public License v3.0 license
• Predictive Modeling in Urgent Care - A Comparative Study of Machine Learning Approaches
• 467. ml-parameter-optimization
  under MIT License license
• Hyperparameter optimization for machine learning algorithms.
• 468. Machine-Learning-Models
  under MIT License license
• In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
• 469. kaos
  under Apache License 2.0 license
• open source platform for simplifying machine learning deployment
• 470. dm_memorytasks
  under Apache License 2.0 license
• A set of 13 diverse machine-learning tasks that require memory to solve.
• 471. AutoMask
  under MIT License license
• Automatic Rotoscoping/Masking tool powered with Machine Learning for Blender