Everglow's starred repositories
theano-rnn
Recurrent neural networks with theano.
RNN_Experiments
General experiments on Vanilla RNN and LSTM in Theano.
theano-rnn
:mag: Some RNN implementations in Theano
rnn-theano
使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
theano-rnn
Demonstration of recurrent neural network implemented with Theano
attention-nmt
Attention Mechanism in Machine Translation
nmt.hybrid
State-of-the-art Neural Machine Translation Codebase including Hybrid Word-character Models
rnn-encoder-decoder
PyTorch implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation, as detailed in this paper: https://arxiv.org/pdf/1406.1078.pdf
tensorflow-shakespeare
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Neural-Networks-for-Machine-Learning-in-Python
Assignments from Geoffrey Hinton's NN course translated into Python
repository
neural-machine-translation
nlm
Train deep neural language models as described in this paper "Deep Neural Language Models for Machine Translation" http://www.aclweb.org/anthology/K/K15/K15-1031.pdf . We don't claim that this is a fast implementation but was sufficient for us to obtain consistent gains in real translation tasks.
subword-nmt
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
nn-from-scratch
Implementing a Neural Network from Scratch
theano-recurrence
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano