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ipark2021's Projects

prottrans icon prottrans

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

pv icon pv

WebGL protein viewer

pychimera icon pychimera

Use UCSF Chimera Python API in a standard interpreter

pyenzyme icon pyenzyme

🧬 - Data management and modeling framework based on EnzymeML.

pyfaidx icon pyfaidx

Efficient pythonic random access to fasta subsequences

pyrosetta.notebooks icon pyrosetta.notebooks

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

quick icon quick

QUICK: A GPU-enabled ab intio quantum chemistry software package

rankfm icon rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

rd_filters icon rd_filters

A script to run structural alerts using the RDKit and ChEMBL

rdchiral icon rdchiral

Wrapper for RDKit's RunReactants to improve stereochemistry handling

rdkit icon rdkit

The official sources for the RDKit library

rdkit-cats2d icon rdkit-cats2d

Modification of the code of Rajarshi Guha (which uses OECHem) to use RDKIT.

retropathrl icon retropathrl

Reinforcement Learning based bioretrosynthesis tool

rf-score icon rf-score

A machine learning approach to predicting protein-ligand binding affinity.

rita icon rita

RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.

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