matthias-k/DeepGaze

A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)

Scenic: A Jax Library for Computer Vision Research and Beyond

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)

Datasets, Transforms and Models specific to Computer Vision

Collection of common code that's shared among different research projects in FAIR computer vision team.

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Reference PyTorch implementation and models for DINOv3