act

airobot

A python library for robot learning - An extension to PyRobot

aloha

colabcode

first

cryptology_exp

密码学项目

cs50

Harvard University CS50 Projects

databaselab

deoxys_control

A modular, real-time controller library for Franka Emika Panda robots

diffusion_policy

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

dominique-yiu

dominique-yiu.github.io

drl-for-minecraft

Tree chopping agent in Minecraft

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

github-slideshow

A robot powered training repository :robot:

hexo-theme-fluid

:ocean: 一款 Material Design 风格的 Hexo 主题 / An elegant Material-Design theme for Hexo

hexo-theme-particlex

A concise Hexo theme, based on Particle.

kuka-controller

This repository implements a way to control any robot in CoppeliaSim using a SpaceMouse. (Inverse Kinematics)

machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

memopainter-pytorch

An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.

national-is-contest

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

robotic-transformer-pytorch

Implementation of RT1 (Robotic Transformer) in Pytorch

ros-llm

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.

week_report