Expert-Guided Protein Language Models enable Accurate and Blazingly Fast Fitness Prediction

Application to assign secondary structure to proteins

Evolutionary couplings from protein and RNA sequence alignments

Exercises and supplementary material for the machine learning operations course at DTU.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Git commit message: how to write a great git commit message and commit template for version control

Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`

It's not just a linter that annoys you!

Graph Neural Network Library for PyTorch

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

This is the repository for the variant impact predictor VarIpred.

Sequence-based Hierarchical and Extendable Platform for High-throughput Analysis of Region of Disorder

Code for the ProteinMPNN paper

Inference of couplings in proteins and RNAs from sequence variation

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Making Protein Design accessible to all via Google Colab!

Making Protein folding accessible to all!

🎓 Sharing machine learning course / lecture notes.

OmegaFold Release Code

Software development pipelines related to the PRISM project

Cross-protein transfer learning for variant effect prediction