Code for the ProteinMPNN paper

Tools for curating biomedical training data for large-scale language modeling

A framework for few-shot evaluation of autoregressive language models.

Toolkit for creating, sharing and using natural language prompts.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

Deep Learning Examples

Multi-Task Deep Neural Networks for Natural Language Understanding

This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.

Benchmark datasets, data loaders, and evaluators for graph machine learning

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PyTorch Tutorial for Deep Learning Researchers

Lightwood is Legos for Machine Learning.

Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification

Build Graph Nets in Tensorflow

A repository for neural representational learning of RNA secondary structures

Homology reduced UniProt, train-/valid-/testsets for language modeling

A repository containing tutorials for practical NLP using PyTorch

Identifies elements of structure that can be shuffled between two or more proteins