huy-ha

huy-ha's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k1.5k3k44.6k

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++71.2k6492k7.7k

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16.1k2041k1.9k

• databrickslabs/dolly

  Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  Language:Python10.8k1391621.2k

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.7k1161.7k1.3k

• adi1090x/rofi

  A huge collection of Rofi based custom Applets, Launchers & Powermenus.

  Language:Shell6.9k52130321

• DLR-RM/BlenderProc

  A procedural Blender pipeline for photorealistic training image generation

  Language:Python2.9k46856454

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.8k2163241

• real-stanford/diffusion_policy

  [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

  Language:Python1.8k19112340

• tonyzhaozh/aloha

  Language:Python1.5k3425265

• andyzeng/tsdf-fusion-python

  Python code to fuse multiple RGB-D images into a TSDF voxel volume.

  Language:Python1.3k2437219

• juruen/rmapi

  Go app that allows you to access your reMarkable tablet files through the Cloud API

  Language:Go97928189107

• hila-chefer/Transformer-MM-Explainability

  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

  Language:Jupyter Notebook807836108

• mithi/hexapod

  Blazing fast hexapod robot simulator for the web.

  Language:JavaScript591216670

• erwincoumans/pybullet_robots

  Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

  Language:Python5052514192

• lucidrains/slot-attention

  Implementation of Slot Attention from GoogleAI

  Language:Python40111732

• real-stanford/scalingup

  [CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down

  Language:Python36342823

• kevinzakka/obj2mjcf

  A CLI for processing composite Wavefront OBJ files for use in MuJoCo.

  Language:Python19362122

• cvlab-columbia/hyperfuture

  Code for the paper Learning the Predictability of the Future (CVPR 2021)

  Language:Python16114625

• real-stanford/decentralized-multiarm

  [CoRL 2020] Learning a Decentralized Multiarm Motion Planner

  Language:Python14261524

• hila-chefer/RobustViT

  [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

  Language:Jupyter Notebook1274213

• utiasSTARS/GraphIK

  A library for solving inverse kinematics with graphical models and distance geometry.

  Language:Python1159420

• dzryk/antarctic-captions

  Language:Python1114710

• real-stanford/semantic-abstraction

  [CoRL 2022] This repository contains code for generating relevancies, training, and evaluating Semantic Abstraction.

  Language:Python107566

• real-stanford/garmentnets

  [ICCV 2021] GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion

  Language:Python60678

• real-stanford/umpnet

  [RA-L / ICRA 2022] UMPNet: Universal Manipulation Policy Network for Articulated Objects

  Language:Python54446

• real-stanford/roboninja

  [RSS 2023] RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects

  Language:Python2830

• real-stanford/busybot

  [CoRL 2022] BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment

  Language:Python18301

• peract/peract_colab

  Annotated Tutorial for PerAct

  Language:Python173113

• real-stanford/ASPiRe

  [NeurIPS 2022] ASPiRe: Adaptive Skill Priors for Reinforcement Learning

  Language:Python14210