facebookresearch/tribev2

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

OpenMMLab Pre-training Toolbox and Benchmark

Machine learning for NeuroImaging in Python

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

Scenic: A Jax Library for Computer Vision Research and Beyond

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

PyTorch code and models for V-JEPA self-supervised learning from video.

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

A curated list of awesome neuroscience libraries, software and any content related to the domain.