Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Bidirectional LSTM-RNN for POS tagger in tensorflow

Code for converting speech data into text using encoder-decoder model.

A model for finding mentions of adverse drug reactions in Twitter posts

blstm-cws : Bi-directional LSTM for Chinese Word Segmentation

Code for converting natural language instructions into its corresponding action sequence.

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

Demo of Sci-Kit Learn classes and custom classes

Practiced implementing a simple DNN (along with discriminative pretraining) for acoustic modelling for ASR and used kaldi for frontend and decode. Kaldi features, alignment, etc are used in python…

python wrappers of the edit_distance functions of Kaldi-ASR

Keras Interface for Kaldi ASR

Korean text normalization and language preparation package for LM in Kaldi-based ASR system

readers that enable reading kaldi ark in tensorflow