Implementing Recurrent Neural Network from Scratch
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Updated
May 28, 2018 - Python
Implementing Recurrent Neural Network from Scratch
Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
RNN-based language models in pytorch
Imageboard bot with recurrent neural network (RNN, GRU)
Char RNN Language Model based on Tensorflow
BlackOut and Adaptive Softmax for language models by Chainer
attempt at implementing "Memory Architectures in Recurrent Neural Network Language Models" as a part of the ICLR 2018 reproducibility challenge
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (Supports all Models both Luong and Bhanadau).
Code and scripts for training, testing and sampling auto-regressive recurrent language models on PyTorch with RNN, GRU and LSTM layers
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (only supports Bahdanau Attention right now).
A lightweight, deep learning library written in pure Python
RNN language model implemented in chainer.
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