lightly-ai / lightly

A python library for self-supervised learning on images.

jpmyrmecol / AMADEUS

Annotation-free multi-animal direction estimation using self-supervised learning

microsoft / unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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.

deepinv / deepinv

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

CyberAgentAILab / vae_speech_align

Phoneme alignment based on a variational autoencoder (VAE) and self-supervised learning (SSL) acoustic features.