hydesign

hydesign's Stars

• Genesis-Embodied-AI/Genesis

  A generative world for general-purpose robotics & embodied AI learning.

  Language:Python20.1k1.5k

• nicklashansen/puppeteer

  Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"

  Language:Python1599

• Kiri-Innovation/3dgs-render-blender-addon

  3DGS Render by KIRI Engine

  Language:Python3618

• ZiwenZhuang/parkour

  [CoRL 2023] Robot Parkour Learning

  Language:Python627105

• DekuLiuTesla/CityGaussian

  CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians

  Language:Jupyter Notebook58545

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.7k1.7k

• mrtripie/Blender-Super-Batch-Export

  Allows you to export multiple meshes in a blend file to separate files in one click.

  Language:Python19820

• sebastianstarke/AI4Animation

  Bringing Characters to Life with Computer Brains in Unity

  Language:C++7.9k1.1k

• FrankVeenstra/EvolvingModularRobots_Unity

  Software for Evolving Modular Robots in Unity

  Language:Python132

• mexxik/UE-LearningAgents

  Language:C++92

• HectorPulido/Evolutionary-Neural-Networks-on-unity-for-bots

  Neural networks + Genetic algorithm on unity

  Language:C#8420

• openai/evolution-strategies-starter

  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

  Language:Python1.6k278

• yeshenpy/Awesome-Evolutionary-Reinforcement-Learning

  Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

  23126

• haoranD/Awesome-Embodied-AI

  A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

  32610

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML59.2k7k

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.7k1.3k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.2k2k

• IDEA-Research/ED-Pose

  [ICLR 2023] Official implementation of the paper "Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation "

  Language:Python1598

• nv-tlabs/pacer

  Official implementation of PACER, Pedestrian Animation ControllER, of CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion".

  Language:Python684

• nv-tlabs/trace

  Official implementation of TRACE, the TRAjectory Diffusion Model for Controllable PEdestrians, from the CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion".

  Language:Python814

• davrempe/humor

  Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

  Language:Python52672

• rmbashirov/rgbd-kinect-pose

  Demo for "Real-time RGBD-based Extended Body Pose Estimation" paper

  Language:Python18922

• FabianPlum/OmniTrax

  Deep learning-driven multi animal tracking and pose estimation add-on for Blender

  Language:Python324

• rohanpsingh/mujoco-python-viewer

  Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.

  Language:Python19531

• ai-systems/DILP-Core

  Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.

  Language:Jupyter Notebook5016

• ganeshsar/UnityPythonMediaPipeBodyPose

  Testing multithreaded body tracking inside of Unity using Google MediaPipe Pose Python bindings.

  Language:C#11525

• komietty/unity-convexhull

  Realtime convexhull generator

  Language:C#12218

• Totoro97/f2-nerf

  Fast neural radiance field training with free camera trajectories

  Language:C93769

• pathak22/modular-assemblies

  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"

  Language:Python11416

• MediaBrain-SJTU/EqMotion

  [CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

  Language:Python12015