lightly-ai / lightly
A python library for self-supervised learning on images.
lightly-ai / lightly
lightly-ai / lightly-train
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
vturrisi / solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
open-edge-platform / geti
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
yueliu1999 / Awesome-Deep-Graph-Clustering
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
dipy / dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
NiluK / worldmodels101
Free interactive course on world models in AI. Nine visual chapters on prediction, latent dynamics, planning, JEPA, video models, and failure modes.
jpmyrmecol / AMADEUS
Annotation-free multi-animal direction estimation using self-supervised learning