huy-ha

huy-ha's Stars

• slidevjs/slidev

  Presentation Slides for Developers

  Language:TypeScript33.9k1391.1k1.4k

• Mozilla-Ocho/llamafile

  Distribute and run LLMs with a single file.

  Language:C++20.9k1774411.1k

• facebookresearch/sam2

  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 the model.

  Language:Jupyter Notebook13.1k733911.2k

• LargeWorldModel/LWM

  Large World Model -- Modeling Text and Video with Millions Context

  Language:Python7.2k6671556

• apple/ml-depth-pro

  Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

  Language:Python3.8k4360269

• eloialonso/diamond

  DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

  Language:Python1.6k2033109

• openvla/openvla

  OpenVLA: An open-source vision-language-action model for robotic manipulation.

  Language:Python1.5k22154193

• vye16/shape-of-motion

  Language:Python844175460

• eureka-research/DrEureka

  Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer" (RSS 2024)

  Language:Python82291165

• real-stanford/universal_manipulation_interface

  Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

  Language:Python7221968141

• Improbable-AI/walk-these-ways

  Sim-to-real RL training and deployment tools for the Unitree Go1 robot.

  Language:Python6301583157

• LeCAR-Lab/dial-mpc

  Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.

  Language:Python45011848

• kevinzakka/mink

  Python inverse kinematics based on MuJoCo

  Language:Python354111711

• robot-descriptions/robot_descriptions.py

  Access 100+ robot descriptions from the main Python robotics frameworks

  Language:Python29932817

• real-stanford/umi-on-legs

  UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

  Language:Python23451210

• se-hwan/cusadi

  Language:Python19710611

• droid-dataset/droid_policy_learning

  DROID Policy Learning and Evaluation

  Language:Python15042312

• droid-dataset/droid

  Distributed Robot Interaction Dataset.

  Language:Jupyter Notebook12843227

• yay-robot/yay_robot

  PyTorch implementation of YAY Robot

  Language:Python124657

• Aaditya-Prasad/consistency-policy

  [RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

  Language:Python1233510

• nico-bohlinger/one_policy_to_run_them_all

  Language:Python1174710

• real-stanford/arx5-sdk

  C++ and Python SDK for ARX5 robot arm develeoped by @yihuai-gao (@real-stanford)

  Language:C++46367

• real-stanford/maniwav

  Official codebase of paper "ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data"

  Language:Python46202

• real-stanford/dgdm

  [CoRL'24] Dynamics-Guided Diffusion Model for Robot Manipulator Design

  Language:Python37301

• real-stanford/get_zero

  GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization

  Language:Python33412

• cvlab-columbia/aquabot

  Language:Python15200

• cvlab-columbia/paperbot

  PaperBot: Learning to Design Real-World Tools Using Paper

  Language:Python13501

• vdesai2014/diffusion-policy-accelerated

  Language:Python8103

• yihuai-gao/iPhoneVIO

  Language:Swift8101

• ianhuang0630/TaskSolver

  General library for using existing LLMs for problem solving

  Language:Python4100