Better Data Splits for Machine Learning

A package for all physics based/related models

A game theoretic approach to explain the output of any machine learning model.

Chai-1, SOTA model for biomolecular structure prediction

Official repository for the Boltz-1 biomolecular interaction model

Recursion's molecular foundation model

AlphaFold 3 inference pipeline.

Accelerating the deduplication and collapsing process for reads with Unique Molecular Identifiers (UMI). Heavily optimized for scalability and orders of magnitude faster than a previous tool.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A Cytoscape Jupyter widget

Transcript discovery and quantification with long RNA reads (Nanopores and PacBio)

megaman: Manifold Learning for Millions of Points

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

MOODS: Motif Occurrence Detection Suite

Motif Enrichment In Ranked Lists Of Peaks

Rapid large-scale prokaryote pan genome analysis

Download files from NCBI Entrez by accession

Code for LazyAF pipeline

Graph Neural Network Library for PyTorch

NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.

Software for writing protocols and running them on the Opentrons Flex and Opentrons OT-2

This package contains deep learning models and related scripts for RoseTTAFold

Dock organometallic compounds to proteins/DNA/biomolecules

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning