A web app for ranking computer science departments according to their research output in selective venues.

Supporting code for the EMNLP 2019 paper "Answers Unite! Unsupervised Metrics for Reinforced Summarization Models"

A collection of datasets ready to use with TensorFlow

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Trax — your path to advanced deep learning

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Minimalist NMT for educational purposes

Code for the TriviaQA reading comprehension dataset

PyTorch original implementation of Cross-lingual Language Model Pretraining.

Deep Reinforcement Learning For Sequence to Sequence Models

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

The fastai deep learning library, plus lessons and tutorials

Open Source Neural Machine Translation in PyTorch

An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).

My NLP research experiments, built on PyTorch within the AllenNLP framework

An open-source NLP research library, built on PyTorch.

PyTorch version of Google AI's BERT model with script to load Google's pre-trained models

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

takahe is a multi-sentence compression module