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David Koes's Projects

mmtf-pyspark icon mmtf-pyspark

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

openbabel icon openbabel

Open Babel is a chemical toolbox designed to speak the many languages of chemical data.

openchem icon openchem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

openmm-setup icon openmm-setup

An application for configuring and running simulations with OpenMM

prody icon prody

A Python Package for Protein Dynamics Analysis

qsar-tools icon qsar-tools

Scripts for assisting in modeling quantitative structure activity relationships from 2D chemical data

rdkit icon rdkit

The official sources for the RDKit library

release icon release

Deep Reinforcement Learning for de-novo Drug Design

sidechainnet icon sidechainnet

An all-atom protein structure dataset for machine learning.

slurm icon slurm

Slurm: A Highly Scalable Workload Manager

spearmint icon spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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