Collection of papers and resources for data augmentation for NLP.

An Open-Source Framework for Prompt-Learning.

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

An Open-Source Package for Textual Adversarial Attack.

Framework for testing models with AI2 leaderboards

jiant is an nlp toolkit

[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

Benchmarking synthetic data generation methods.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Conditional GAN for generating synthetic tabular data.

A tool for extracting plain text from Wikipedia dumps

Library for training machine learning models with privacy for training data

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

A collection of datasets that pair questions with SQL queries.

A large annotated semantic parsing corpus for developing natural language interfaces.

Data and code behind the articles and graphics at FiveThirtyEight

A simple, extensible library for developing AutoML systems

A TensorFlow (Python 3) implementation of a differentially-private-GAN.

Privacy-preserving generative deep neural networks support clinical data sharing

Python package to parse news from various news website

CRF++: Yet Another CRF toolkit

An open source python library for automated prediction engineering

Tensors and Dynamic neural networks in Python with strong GPU acceleration

API Documentation Browser

Image-to-image translation with conditional adversarial nets