Stilwell-Git's Stars
taojy123/KeymouseGo
类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input
dpilger26/NumCpp
C++ implementation of the Python Numpy library
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Fluorohydride/ygopro
A script engine for "yu-gi-oh!" and sample gui
RosettaCommons/RFdiffusion
Code for running RFdiffusion
yangkky/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
Farama-Foundation/Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
gcorso/DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
dauparas/ProteinMPNN
Code for the ProteinMPNN paper
HeliXonProtein/OmegaFold
OmegaFold Release Code
katerakelly/oyster
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
jonasrothfuss/ProMP
Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.
microsoft/protein-sequence-models
OATML-Markslab/ProteinGym
Official repository for the ProteinGym benchmarks
gjoni/trDesign
trRosetta for protein design
mikualpha/master-duel-chinese-switch
将 Master Duel 卡片描述替换为社区翻译
molmod/openmm-tutorial-msbs
OpenMM tutorial for the MSBS course
OATML-Markslab/Tranception
Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"
rifdock/rifdock
Rifdock Library for Conformational Search
Graylab/IgLM
Generative Language Modeling for Antibody Design
oxpig/AbLang
AbLang: A language model for antibodies
mxfold/mxfold2
MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration
THUNLP-MT/dyMEAN
This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"
dhbrookes/CbAS
Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'
chemgymrl/chemgymrl
JinyuanSun/mutation-stability-data
tgangwani/GuidanceRewards
Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)
Grigoryanlab/TERM-ddG
method for computing stability changes in proteins upon mutations, published in https://doi.org/10.1371/journal.pone.0178272
yanQval/SOP-CG