Models and examples built with TensorFlow

Deep Learning for humans

💫 Industrial-strength Natural Language Processing (NLP) in Python

Deep learning library featuring a higher-level API for TensorFlow.

A PyTorch-based Speech Toolkit

all kinds of text classification models and more with deep learning

Convolutional Neural Network for Text Classification in Tensorflow

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

LSTM and QRNN Language Model Toolkit for PyTorch

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Morphological analyzer / inflection engine for Russian and Ukrainian languages.

Text classifier for Hierarchical Attention Networks for Document Classification

A Python wrapper for Kaldi

Empower Sequence Labeling with Task-Aware Language Model

Convolutional Neural Networks for Sentence Classification in Keras

Named Entity Recognition using multilayered bidirectional LSTM

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

Text Classification Library in Keras

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 diffe…

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Neural Sentiment Classification

Offline transcription system for Estonian using Kaldi

Text Classification by Convolutional Neural Network in Keras

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi

Code for ACM MM'17 paper "Learning Fashion Compatibility with Bidirectional LSTMs"

A short example of training a bidirectional LSTM model with connectionist temporal classification

bidirectional lstm

Morphological analyzer for Russian and English languages based on neural networks and dictionary-lookup systems.