- 👋 Hi, I’m @Peins
- 👀 I’m interested in ...web、ML、DL、DRL...
- 🌱 I’m currently learning ...web、DL、DRL
- 💞️ I’m looking to collaborate on ...
- 📫 How to reach me ...
peins Goto Github PK
Name: PEIN
Type: User
Blog: pein.cf
Name: PEIN
Type: User
Blog: pein.cf
Config files for my GitHub profile.
拼多多apk内嵌提权代码,及动态下发dex分析
基于深度学习的p站高质量涩图AI爬虫,可以学会你的XP
RRT*-MPC path planning for spacecraft navigation in dynamic environment. Graded project for the ETH course "Planning and Decision Making for Autonomous Robots".
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版
Guides, papers, lecture, and resources for prompt engineering
Prompt 编写模式:如何将思维框架赋予机器,以设计模式的形式来思考 prompt
《机器学习》(西瓜书)公式详解
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
note for the book Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython by Wes McKinney
Motion planning and Navigation of AGV/AMR based on python, including A*(A Star), JPS(Jump Point Search), D*(D Star), LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, PID, DWA etc.
Python sample codes for robotics algorithms.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
.pyw是Python窗口小部件应用程序的文件格式,与.py文件格式类似,但其使用.pyw文件格式可以在Windows系统上运行而无需打开控制台窗口。这些文件将Python代码编写为可执行文件并以窗体应用程序的形式运行,通常用于创建GUI应用程序,例如桌面应用程序或游戏。
青龙脚本-网易云音乐合伙人评分、什么值得买签到
为开发人员分享快速参考备忘清单(速查表)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Reinforcement-Learning-Notes, start with MDP.
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
上传您房间的照片,使用人工智能生成您的梦想房间
Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*(A Star), JPS(Jump Point Search), D*(D Star), LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, PID, DWA etc.
rrt算法,结合了rrt*, kd-tree, skip-tree, informed rrt;考虑了动力学约束(后端优化)
Implementations of the Rapidly Exploring Random Trees (RRT) path planner and some of its popular variants (RRT*, Anytime RRT, Informed RRT*).
RuoYi-Vue 全新 Pro 版本,优化重构所有功能。基于 Spring Boot + MyBatis Plus + Vue & Element 实现的后台管理系统 + 微信小程序,支持 RBAC 动态权限、数据权限、SaaS 多租户、Flowable 工作流、三方登录、支付、短信、商城等功能。你的 ⭐️ Star ⭐️,是作者生发的动力!
Sakana widget for Web. | 网页小组件版本的石蒜模拟器。
🍎seckill-dubbo🍎分布式Java秒杀系统
The code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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.