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andrewng_ml_course

The coding exercise from Andrew Ng's ML course in Coursera, some codes refer to https://github.com/nsoojin/coursera-ml-py

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

cc-rrt

chatgpt-next-web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

cpp_exercising

C++ exercising

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

data_structures_and_algorithm

Data Structures and Algorithm Analysis in C++ (4th) Mark Allen Weiss 数据结构与算法分析（C++）第四版

drl_based_selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

gcn

Implementation of Graph Convolutional Networks in TensorFlow

git-by-example

通过示例学习 Git

image_processing_learning

exercise code for learning image processing

interview-notebook

:calendar: 准备秋招学习笔记

linux_os_coding

coding exercise from wangdao

llm.c

LLM training in simple, raw C/CUDA

mit_os

MIT_OS open course 6.828/Fall 2018 https://pdos.csail.mit.edu/6.828/2018/schedule.html

ml-learn-by-doing

Codes from my graduate ML course in 2019

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

roborts

An open source software stack for Real-Time Strategy research on mobile robots