Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Imaging, analysis, and simulation software for radio interferometry
The repository host gives no description.
Python library for loading and using triangular meshes.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Sverchok is Node-based visual programming for parametric 3D modeling and computational geometry in Blender
Message Passing Neural Networks for Molecule Property Prediction
FAIR Chemistry's library of machine learning methods for chemistry
A deep learning package for many-body potential energy representation and molecular dynamics
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
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
⚗ A package useful for chemistry written in Python
Molecular Processing Made Easy.
Benchmarks for generative chemistry
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
Parsers and algorithms for computational chemistry logfiles
Descriptor computation(chemistry) and (optional) storage for machine learning
OPEM (Open Source PEM Fuel Cell Simulation Tool)
Molecule Validation and Standardization
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.