Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
47,133 repositories indexed
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Official git repository for Biopython (originally converted from CVS)
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Biological foundation modeling from molecular to genome scale
ObsPy: A Python Toolbox for seismology/seismological observatories.
Brian is a free, open source simulator for spiking neural networks.
Math & CS awesome List, distinguished by proof and logic technique
Python package for graph neural networks in chemistry and biology
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.
Tools for computational pathology
A dependency-free cross-platform swiss army knife for PDB files.
Parsers and algorithms for computational chemistry logfiles
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
MCP server for spatial transcriptomics analysis through natural language interfaces.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.