ymatsunaga's Stars
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
ObservedObserver/chatgpt-i18n
Localize your websites with AI assistance.
LuxDL/Lux.jl
Elegant and Performant Scientific Machine Learning in Julia
Raychanan/ChatGPT-for-Translation
Use Python and ChatGPT for translation. 利用Python和ChatGPT完成翻译
whitphx/vscode-emacs-mcx
Awesome Emacs Keymap - VSCode emacs keybinding with multi cursor support
bjornwallner/DockQ
DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models
jupyterlab/jupyter-collaboration
A Jupyter Server Extension Providing Support for Y Documents
chemfiles/chemfiles
Library for reading and writing chemistry files
slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
OpenFreeEnergy/openfe
The Open Free Energy toolkit
yuyang-shi/dsbm-pytorch
PyTorch Implementation of Diffusion Schrodinger Bridge Matching
tubiana/TTClust
clusterize molecular dynamic trajectories (amber, gromacs, charmm, namd, pdb...)
althonos/peptides.py
Physicochemical properties, indices and descriptors for amino-acid sequences.
wolberlab/OpenMMDL
Interface to OpenMM for easy setup of molecular dynamic simulations of protein-ligand complexes
rlabduke/MolProbity
Protein and nucleic acid validation service
alchemab/antiberta
Public repository describing training and testing of AntiBERTa.
gaurav-arya/differentiable_mh
Code for paper https://arxiv.org/abs/2306.07961
choderalab/openmm-tutorials
Quickstart Python tutorials helping molecular dynamics practitioners get up to speed with OpenMM
gamasenninn/gihyo-ChatGPT
Gihyo ChatGPT Book
luigibonati/deep-learning-slow-modes
Supporting data for the manuscript "Deep learning the slow modes for rare events sampling"
choderalab/antibody-mutations
Assessing the impact of mutations on antibody-antigen binding affinity
gpantel/MD_methods-and-analysis
Repository for MD methods and analysis from submitted or published work
wadayama/DU-Book
For samples codes of the deep unfolding book.
shunsakuraba/fepsuite
Software package for FEP
resnant/dmol-book-japanese
Japanese translation of "Deep learning for molecules and materials book"
tiwarylab/simple-diffusion
Demo of diffusion models #DDPM applied to molecular dynamics of small peptide
vuqv/cosmo
COSMO: COarse-grained Simulation of intrinsically disordered prOteins with openMM
k0he1ya/DOCKING
ensemble docking
sato9hara/SPoD-Net
Python code for fast microscopic image recovery