The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Official inference library for Mistral models

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.

Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

Inference code for Llama models

Optical illusions using stable diffusion

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Official Implementation of Holo-Dex: Teaching Dexterity with Immersive Mixed Reality

A General NeRF Acceleration Toolbox in PyTorch.

A collaboration friendly studio for NeRFs

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

Code repository for the paper "Tracking People by Predicting 3D Appearance, Location & Pose". (CVPR 2022 Oral)

Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

A security focused static analysis tool for Android and Java applications.

Open source code for AlphaFold 2.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

A fast, first order open-access simulator that integrates single plant growth models with inter-plant competition for sun light and water.

Post Processor for Facebook Static Analysis Tools.

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

Platform for designing and evaluating Graph Neural Networks (GNN)

PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.

code for paper "Graph Structure of Neural Networks"

Comparison of code generation by ocamlopt and Duplo (using the backend of LLVM)

Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Code for "Are labels necessary for neural architecture search"