xuzhenjing2016

char-rnn

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

DeepLearningTutorial

Deep learning tutorial in Chinese/深度学习教程中文版

dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

dlib-android

Port dlib to Android

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hierarchical-encoder-decoder

Hierarchical encoder-decoder framework for sequences of words, sentences, paragraphs and documents using LSTM and GRU in Theano

Hierarchical-Neural-Autoencoder

hred-qs

Hierarchical Recurrent Encoder Decoder for Query Suggestion

keras-language-modeling

Some language modeling tools for Keras deep learning framework

lantern

:izakaya_lantern: Open Internet for everyone. Lantern is a free application that delivers fast, reliable and secure access to the open Internet for users in censored regions. It uses a variety of techniques to stay unblocked, including domain fronting, p2p, and pluggable transports.

xuzhenjing2016/char-rnn

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

xuzhenjing2016/DeepLearningTutorial

Deep learning tutorial in Chinese/深度学习教程中文版

xuzhenjing2016/dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

xuzhenjing2016/dlib-android

Port dlib to Android

xuzhenjing2016/hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

xuzhenjing2016/hierarchical-encoder-decoder

Hierarchical encoder-decoder framework for sequences of words, sentences, paragraphs and documents using LSTM and GRU in Theano

xuzhenjing2016/Hierarchical-Neural-Autoencoder

xuzhenjing2016/hred-qs

Hierarchical Recurrent Encoder Decoder for Query Suggestion

xuzhenjing2016/keras-language-modeling

Some language modeling tools for Keras deep learning framework

xuzhenjing2016/lantern

:izakaya_lantern: Open Internet for everyone. Lantern is a free application that delivers fast, reliable and secure access to the open Internet for users in censored regions. It uses a variety of techniques to stay unblocked, including domain fronting, p2p, and pluggable transports.

xuzhenjing2016/layer-norm

Code and models from the paper "Layer Normalization"

xuzhenjing2016/MIXER

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

xuzhenjing2016/notes

xuzhenjing2016/seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

xuzhenjing2016/tensorflow-notes

tensorflow学习笔记

xuzhenjing2016/VAE-Torch

Implementation of Variational Auto-Encoder in Torch7

xuzhenjing2016/Variational-Autoencoder

Implementation of a variational Auto-encoder