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adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

dclm

Document context language models

deeplearningbook-chinese

Deep Learning Book Chinese Translation

lstm-char-cnn

LSTM language model with CNN over characters

neural-language-model

Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.

recurrenthighwaynetworks

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

set

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tf-adaptive-softmax-lstm-lm

The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.