A very simple framework for state-of-the-art Natural Language Processing (NLP)

Variational Methods for Pretraining in Resource-limited Environments

Interpretable Models for NLP using PyTorch

Implementation of Adaptive Co-attention Network for Named Entity Recognition in Tweets in AAAI2018.

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

Toxic Comment Classification Challenge

This is a "supervised learning" challenge in machine learning. We are making available 30 datasets, all pre-formatted in given feature representations (this means that each example consists of a fi…

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

2019 Google Brain's XLNet Pytorch Implementation

A toolkit for developing and comparing reinforcement learning algorithms.

Semi Supervised Learning for Text-Classification

An open source library for deep learning end-to-end dialog systems and chatbots.

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

The fastai deep learning library, plus lessons and and tutorials

Code for "Language GANs Falling Short"

Neural Collaborative Filtering

An implementation of "Deep Content-User Embedding Model for Music Recommendation" in Keras

Virtual adversarial training with Tensorflow

Code and sample data accompanying our COLING 2018 paper

Joint Bilingual Sentiment Embeddings and Classifier

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

Characterization and detection of hateful users.

TensorFlow implementation of Deep Reinforcement Learning papers

Library for fast text representation and classification.

scikit-learn: machine learning in Python

A library for Multilingual Unsupervised or Supervised word Embeddings

Dual LSTM Encoder for Dialog Response Generation

This repo contains our ACL paper data and source code