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  1. Char-RNN implemented using TensorFlow.

    Python 427 287

  2. Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

    Python 283 58

  3. A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.

    Python 73 18

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