I like robots
worasuch Goto Github PK
Name: Worasuchad Haomachai
Type: User
Bio: Robotics Enthusiast
Blog: www.haomachai.com
Name: Worasuchad Haomachai
Type: User
Bio: Robotics Enthusiast
Blog: www.haomachai.com
I like robots
Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
Basic MPU-6050 Arduino sketch of sensor function
Arduino sketches for MPU9250 9DoF with AHRS sensor fusion
Launch files for dynamixel workbench
Differential drive mobile robot using ROS.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Neural Networks: Zero to Hero
Node.js samples for Google Cloud Platform products.
LaTeX document class for NUAA, supporting bachelor/master/PH.D thesis in Chinese/English/Japanese. 南航本科、硕士、博士学位论文 LaTeX 模板
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Python implementation of CMA-ES
A toolkit for robot learning research.
PyRobot: An Open Source Robotics Research Platform
Python sample codes for robotics algorithms.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design
A ROS node that describes a quadruped robot using URDF
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Solutions of Reinforcement Learning, An Introduction
Python implementation of Reinforcement Learning: An Introduction
Simple Reinforcement learning tutorials
The RISE Self-Driving Model Vehicle Platform
Coding exercise solutions for the book: Reinforcement Learning (2nd edition)
RL Course at Chula
A large-scale benchmark and learning environment.
Weekly MATLAB exercises of the course "Robot Dynamics", ETH Zürich (Fall 2020).
A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.