rg314's Stars
google-deepmind/alphafold
Open source code for AlphaFold.
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
puckel/docker-airflow
Docker Apache Airflow
vaticle/typedb
TypeDB: the polymorphic database powered by types
pytorch/botorch
Bayesian optimization in PyTorch
rdkit/rdkit
The official sources for the RDKit library
Buuntu/fastapi-react
🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
SheffieldML/GPyOpt
Gaussian Process Optimization using GPy
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
AstraZeneca/chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
pytorch/torcharrow
High performance model preprocessing library on PyTorch
facebookresearch/vicreg
VICReg official code base
vincenthsu/systemd-ngrok
Automatically start ngrok by systemd
TissueImageAnalytics/tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
arneschneuing/DiffSBDD
A Euclidean diffusion model for structure-based drug design.
flatironinstitute/DeepFRI
Deep functional residue identification
GPflow/GPflowOpt
Bayesian Optimization using GPflow
jensengroup/propka
PROPKA predicts the pKa values of ionizable groups in proteins and protein-ligand complexes based in the 3D structure.
secondmind-labs/trieste
A Bayesian optimization toolbox built on TensorFlow
RelationRx/pyrelational
pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.
HannesStark/3DInfomax
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
RosettaCommons/DeepAb
Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
allegroai/clearml-serving
ClearML - Model-Serving Orchestration and Repository Solution
aws-samples/sagemaker-ml-workflow-with-apache-airflow
This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.
molstar/VSCoding-Sequence
VSCode Extension for interactively visualising protein structure data in the editor
getcontacts/getcontacts
Library for computing dynamic non-covalent contact networks in proteins throughout MD Simulation
typedb-osi/typedb-bio
TypeDB Bio: Biomedical Knowledge Graph
stadlmax/Graph-Posterior-Network
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)