One Shot Learning using Memory-Augmented Neural Networks in Tensorflow.

Update: added support for Tensorflow v1*.

Tensorflow implementation of the paper One-shot Learning with Memory-Augmented Neural Networks.

Current Progress of Implementation:

[x] Utility Functions:
- [x] Image Handler
- [x] Metrics (Accuracy)
- [x] Similarities (Cosine Similarity)
[x] LSTM Controller and Memory Unit
[x] Batch Generators
[x] Omniglot Tester Code
[ ] Unsupervised Feature Learning through Autoencoders
[ ] Cattle/New Born Recognition

The benchmark dataset is Omniglot dataset. All the datasets should be placed in the data/ folder.

Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap, One-shot Learning with Memory-Augmented Neural Networks, [arXiv]