PyTorch

CyclOpsVectorInstitute/cyclops

A toolkit for evaluating and monitoring machine learning models in clinical healthcare settings.

GreatXEdisonLeeeee/GreatX

A PyTorch-based toolbox for graph reliability, focusing on adversarial attacks, defenses, and robustness techniques for graph neural networks.

Tutorials to get started on signal processing for machine learningjinglescode/python-signal-processing

A Python package and tutorial collection for signal processing and machine learning, built on NumPy and SciPy.

Legend of ElyaScottcjn/legend-of-elya-n64

A training pipeline to generate four distinct AI NPC personality weight bundles for a Zelda-style N64 game, enabling byte-level transformer inference on the console's CPU.

Cogitarecogitare-ai/cogitare

A modern, fast, and modular deep learning and machine learning framework for Python built on PyTorch.

InjecGuardsafolab-wisc/injecguard

An open-source prompt guard model that detects prompt injection attacks while mitigating over-defense against benign inputs.

DeepMushroomOlament/DeepMushroom

A fungal image classification project using ResNet to identify mushroom species from citizen science and expert sources.

dream-creatorProGamerGov/dream-creator

A PyTorch-based tool for training custom DeepDream models using GoogleNet and custom image datasets.

Learnergygugarosa/learnergy

A PyTorch-based Python library for energy-based machine learning models, including Restricted Boltzmann Machines and Deep Belief Networks.

MIDASlabomics/midas

A PyTorch deep generative model for integrating and imputing single-cell multimodal data with missing modalities.

MAPSmahmoodlab/MAPS

A machine learning approach for rapid, pathologist-level cell type annotation from spatial proteomics data like MIBI and CODEX.

open-solution-ship-detectionneptune-ml/open-solution-ship-detection

An open-source solution for the Airbus Ship Detection Challenge, providing a benchmark and base for ship detection in satellite imagery.