hanntonkin

hanntonkin's Stars

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  28.9k2.2k01.6k

• MarkFzp/mobile-aloha

  Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

  Language:Jupyter Notebook3.8k7216657

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.3k5413216

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.2k36341247

• zhm-real/MotionPlanning

  Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

  Language:Python2.1k284569

• real-stanford/diffusion_policy

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

  Language:Python1.4k1598254

• danijar/dreamerv3

  Mastering Diverse Domains through World Models

  Language:Python1.3k26131221

• PyDMD/PyDMD

  Python Dynamic Mode Decomposition

  Language:Python86434122299

• chengxuxin/extreme-parkour

  ICRA 2024: Train your parkour robot in less than 20 hours.

  Language:Python541946102

• ai-winter/python_motion_planning

  Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP, DDPG, Bezier, Dubins etc.

  Language:Python4045958

• geng-haoran/Simulately

  A universal summary of current robotics simulators

  Language:TypeScript27511515

• locuslab/differentiable-mpc

  Language:Python23910449

• JohnDTill/ContinuumRobotExamples

  An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.

  Language:C++14681447

• baddoo/piDMD

  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

  Language:MATLAB1249034

• milutter/deep_lagrangian_networks

  Open-source implementation of Deep Lagrangian Networks (DeLaN)

  Language:Python781220

• kevin-tracy/qpax

  Differentiable QP solver in JAX

  Language:Python61366

• intuitive-robots/beso

  [RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"

  Language:Python60356

• Verified-Intelligence/Lyapunov_Stable_NN_Controllers

  Lyapunov-stable Neural Control for State and Output Feedback

  Language:Python545211

• araffin/rlss23-dqn-tutorial

  Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023

  Language:Jupyter Notebook49306

• bardhh/cbfkit

  Toolbox for Robotics Control

  Language:Python45424

• SvenLilge/tdcr-modeling

  Language:C++422217

• Boey-li/AdaptiGraph

  [RSS24] AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation

  Language:C++40173

• plancherb1/parallel-DDP

  Code supporting the WAFR paper "A Performance Analysis of Differential Dynamic Programming on a GPU," and the ICRA workshop follow on work deploying the algorithm onto robot hardware.

  Language:Cuda38408

• krrish94/sniffle-workshop

  An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks)

  Language:SCSS263017

• brohrer/how_optimization_works

  Language:Python186014

• junwoo091400/PX4_Fundamentals_Workshop

  18203

• alshedivat/diffusion-playground

  A playground for experimenting with diffusion models 🌀

  Language:Python15304

• Isaac-Somerville/Neural-Networks-for-Solving-Differential-Equations

  Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.

  Language:Python8112

• 16-884/16-884.github.io

  Language:HTML41

• Vindulamj/rss24-avas-workshop

  Language:HTML1