Popular Python Projects

• 1. models
  Apache License 2.0
• Models and examples built with TensorFlow
• Popularity:
• 2. Python
  MIT License
• All Algorithms implemented in Python
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• 3. faceswap
  GNU General Public License v3.0
• Deepfakes Software For All
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• 4. face_recognition
  MIT License
• The world's simplest facial recognition api for Python and the command line
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• 5. 12306
  MIT License
• 12306智能刷票，订票
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• 6. AiLearning
  GNU General Public License v3.0
• AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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• 7. 100-Days-Of-ML-Code
  MIT License
• 100 Days of ML Coding
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• 8. airflow
  Apache License 2.0
• Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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• 9. bert
  Apache License 2.0
• TensorFlow code and pre-trained models for BERT
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• 10. examples
  BSD 3-Clause "New" or "Revised" License
• A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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• 11. incubator-superset
  Apache License 2.0
• Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
• Popularity:
• 12. pytorch-tutorial
  MIT License
• PyTorch Tutorial for Deep Learning Researchers
• Popularity:
• 13. it-cert-automation-practice
  Apache License 2.0
• Google IT Automation with Python Professional Certificate - Practice files
• Popularity:
• 14. Detectron
  Apache License 2.0
• FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
• Popularity:
• 15. algo
  Apache License 2.0
• 数据结构和算法必知必会的50个代码实现
• Popularity:
• 16. PayloadsAllTheThings
  MIT License
• A list of useful payloads and bypass for Web Application Security and Pentest/CTF
• Popularity:
• 17. d2l-zh
  Apache License 2.0
• 《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
• Popularity:
• 18. wechat_jump_game
  Apache License 2.0
• 微信《跳一跳》Python 辅助
• Popularity:
• 19. python-docs-samples
  Apache License 2.0
• Code samples used on cloud.google.com
• Popularity:
• 20. facenet
  MIT License
• Face recognition using Tensorflow
• Popularity:

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