a-r-j/ProteinWorkshop
Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
PythonMIT
Stargazers
- 2019mohamedProteinea
- a-r-jUniversity of Cambridge
- AH-MeriiSilence Therapeutics
- altriasjy31m78
- amoreheadUniversity of Missouri
- arneschneuingEPFL
- chaitjoUniversity of Cambridge
- Croydon-BrixtonCambridge Uni, Institute for Protein Design (Baker lab), ETH Zurich
- fly51flyPRIS
- GRAPH-0Beihang University; CUHK
- HomaMP
- jludwiczak@labstructbioinf
- khb7840
- kierandidiCambridge, UK
- Kimiphone
- Lala2398Azerbaijan National Academy of Sciences - MBBI / CSB Lab
- leelasdYale University
- marcosfelt@Merck
- mkirchmeyerRoche / Genentech
- mrauha
- ncfreyPrescient Design • Genentech
- paulmorio
- pengzhangzhiPhD student@Duke
- rdkIOCB Prague / Charles University
- RemyLauCarnegie Mellon University
- rish-16@KrishnaswamyLab @Graph-and-Geometric-Learning
- rvinas
- SandalotsVolcanak
- silver380
- simidjievskin
- soma2000-lang@unifyai
- TernencezzZ
- vdutorGoogle DeepMind
- XuZikangUSTC
- xxxnell@prescient-design, Genentech
- yuanqiduCornell University