Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
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Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A set of documented functions for simulating the performance of photovoltaic energy systems.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
A dependency-free cross-platform swiss army knife for PDB files.
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
Variations on Kirby & Paris' hydra battles and other entertaining math in Coq (collaborative, documented, includes exercises) [maintainer=@Casteran]
Graph Theory [maintainers=@chdoc,@damien-pous]
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
A browser workspace connecting research projects, apps, and collaborators