A python package for processing eye movement data

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

A suite of image and video neural tokenizers

A library to parse SR research EDF files into python.

Official inference repo for FLUX.1 models

A Python package for probabilistic state space modeling with JAX

Convert eyetracking data to a BIDS compatible format (BEP20)

Mamba SSM architecture

This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."

4M: Massively Multimodal Masked Modeling

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

Official repository for "A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains", NeurIPS-23.

An experiment to determine the relationship between spatial frequency and eccentricity in the human early visual cortex.

Tight Learned Inertial Odometry

Segment Anything combined with CLIP

Open source version of the original ISET, a complement to ISETBIO

An approach to building pure vision foundation models by prompting masked predictors with "counterfactual" visual inputs.

[NeurIPS'23] Emergent Correspondence from Image Diffusion

Takagi and Nishimoto, CVPR 2023

A latent text-to-image diffusion model

👋 Xplique is a Neural Networks Explainability Toolbox

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

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Official repo for consistency models.

Unified Image and Video Saliency Modeling (ECCV 2020)

Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.

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

Stanford LaTeX poster template