gru topic

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

rakeshvar

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

roomylee

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任...

catqaq

Baseline implementation of recurrent PPO using truncated BPTT

MarcoMeter

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

dangz90

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

dalinvip

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are...

mravanelli

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

lucko515

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

bentrevett

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

jhhuang96