Adversarial Natural Language Inference Benchmark

Heuristic Analysis for NLI Systems

Medical question and answer dataset gathered from the web.

Code for the paper Fine-Tuning Language Models from Human Preferences

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

Ongoing research training transformer models at scale

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Sandbox for training deep learning networks

Course notes for CS228: Probabilistic Graphical Models.

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

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Unsupervised Language Modeling at scale for robust sentiment classification

Python library that reads JSON files of any size.

A decoupled, generative, unsupervised, multimodal neural architecture.

An adversarial example library for constructing attacks, building defenses, and benchmarking both