Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
APACHE-2.0 License
Benchmark multiple object trackers (MOT) in Python
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...
Biologically based dynamics for machine learning and deep learning tools for neuroscience.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Combinatorial Complex Score-based Diffusion model using stochastic differential equations
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed conf...
Official Python SDK for Kern AI refinery.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and t...
20+ high-performance LLM implementations with recipes to pretrain, finetune and deploy at scale.
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enab...
End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 ...