kornia/kornia

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Datasets, Transforms and Models specific to Computer Vision

Reference PyTorch implementation and models for DINOv3

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Open Source Computer Vision Library

PyTorch code and models for the DINOv2 self-supervised learning method.

We write your reusable computer vision tools. 💜

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.