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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.
Code for "MetaMorph: Learning Universal Controllers with Transformers", Gupta et al, ICLR 2022
This repository contains demos I made with the Transformers library by HuggingFace.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Code for "Embodied Intelligence via Learning and Evolution", Gupta et al, Nature Communications
Open source code for AlphaFold 2.
An open source framework for research in Embodied-AI from AI2.
Official repo for ECCV 2020 paper - RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
A paper list of object detection using deep learning.
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
End-to-End Object Detection with Transformers
A toolkit for developing and comparing reinforcement learning algorithms.
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
An elegant PyTorch deep reinforcement learning library.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
PyTorch implementation of Soft Actor-Critic (SAC)
An educational resource to help anyone learn deep reinforcement learning.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
A framework for Privacy Preserving Machine Learning
Open3D: A Modern Library for 3D Data Processing
Codebase for Image Classification Research, written in PyTorch.
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
Efficiently computes derivatives of NumPy code.