shatu

Joint-NER-RelEx-Coref

Code for Joint Modeling of NER, Relation Extraction and Coreference Resolution using Constrained Conditional Models

adapter-transformers

Huggingface Transformers + Adapters = ❤️

DialoGPT

Large-scale pretraining for dialogue

Docker-Containers

cogcomp-nlp

CogComp's Natural Language Processing libraries

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Generating_Text_Summary_With_GPT2

A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

HyperGAN

A composable Generative Adversarial Network(GAN) with API and command line tool.

MemNN

Memory Networks implementations

n2nmn

Learning to Reason: End-to-End Module Networks for Visual Question Answering

Neural-Dialogue-Generation

NeuralDialog-CVAE

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

newsroom

Tools for downloading and analyzing summaries and evaluating summarization systems. https://summari.es/

nlp_tasks

Natural Language Processing Tasks and References

OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

ParlAI

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

PyMarlin

Lightweight Deep Learning Model Training library based on PyTorch

pystruct

Simple structured learning framework for python

pytorch-pretrained-BERT

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

shatu.github.io

Code for the personal website

SpaceFusion

An implementation for the SpaceFusion model, https://arxiv.org/abs/1902.11205

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

t5x

tensorflow

Computation using data flow graphs for scalable machine learning

unify-parameter-efficient-tuning

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

wikiextractor

A tool for extracting plain text from Wikipedia dumps