Stars
Tools for inferring genome-wide enrichment of sequencing counts vs. input counts
Kirigami: RNA secondary structure prediction via deep learning
An end-to-end linear-time algorithm for structural alignment and conserved structure prediction of RNA homologs
This package contains deep learning models and related scripts for RoseTTAFold
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
A Fully Automatic Method for Predicting Contact Maps of RNAs by Evolutionary Coupling Analysis
Physical energy function for protein sequence design
A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.
Differentiable, Hardware Accelerated, Molecular Dynamics
GPU and SIMD accelerated RMSD and TMScore based clustering of protein models
Learning protein structure with a differentiable simulator
Precision-Recall based assessment for CAFA
A PyTorch framework for prediction of tertiary protein structure
PyTorch library of layers acting on protein representations
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
Coarse-grained molecular dynamics for protein physics
Tool for searching proteins through structural fingerprints.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
MMseqs2: ultra fast and sensitive search and clustering suite
The official repository for the cotranslational protein structure prediction software SAINT2
The official repository for the fragment library generation software Flib.
This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.
PyMod 3 - sequence similarity searches, multiple sequence/structure alignments, and homology modeling within PyMOL.
A collection of those pesky SDK folders: MacOSX10.1.5.sdk thru MacOSX11.3.sdk