hqucms/weaver-core

Machine Learning for High Energy Physics.

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

WAVE deep learning for signal readout and reconstruction in full-waveform time-of-flight particle detectors.

Build Custom Deep Neural Network Trainers in 2026: Open Source BuilT Guide

A Deep learning library for neutrino telescopes

The RWTH extensible training framework for universal recurrent neural networks

A neural network training framework within a task-based parallel programming paradigm

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

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.