The public CGAL repository, see the README below
- cgal
- c-plus-plus
- geometry
- algorithms
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The public CGAL repository, see the README below
The Rocq Prover is an interactive theorem prover, or proof assistant. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
Official git repository for Biopython (originally converted from CVS)
A PyTorch Library for Accelerating 3D Deep Learning Research
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Manipulation and analysis of geometric objects
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Official repository for the Boltz biomolecular interaction models
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Fast and efficient CSS optimizer for node.js and the Web
C++ implementation of the Python Numpy library
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
3D visualization and mesh analysis for science and engineering
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Math.NET Numerics
C++ tensors with broadcasting and lazy computing
Bayesian optimization in PyTorch
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.
g2o: A General Framework for Graph Optimization
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Model-rocketry aerodynamics and trajectory simulation software
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
High-performance C++ library for multiphysics and multibody dynamics simulations
Public development project of the LAMMPS MD software package