graphnet-team/graphnet

Machine Learning for High Energy Physics.

Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A library for designing and training deep learning models for neural data.

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.

Brain Dynamics Programming in Python

Mirror of official GWpy project on GitLab

Basic tools and wrappers for enabling not-too-alien syntax when running columnar Collider HEP analysis.

Metapackage of Scikit-HEP project data analysis packages for Particle Physics.