Memory-Augmented Network System
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A Memory-Augmented Network System is a ANN System that implements a memory network algorithm.
- Example(s):
- Memory Networks (Torch/Matlab): https://github.com/facebook/MemNN
- python-babi: MemN2N implemenation on bAbI tasks with very nice interactive demo. https://github.com/vinhkhuc/MemN2N-babi-python
- theano-babi: MemN2N implementation in Theano for bAbI tasks. https://github.com/npow/MemN2N
- tf-lang: MemN2N language model implementation in TensorFlow. https://github.com/carpedm20/MemN2N-tensorflow
- tf-babi: Another MemN2N implementation of MemN2N in TensorFlow, but for bAbI tasks. https://github.com/domluna/memn2n
- Simulation tasks generator: https://github.com/facebook/bAbI-tasks
- See: ConvNet System.
References
2017
- https://github.com/vinhkhuc/MemN2N-babi-python
- QUOTE: This project contains implementations of memory augmented neural networks. ...