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wnight963's Projects

awesome-papers icon awesome-papers

机器学习,深度学习,自然语言处理,计算机视觉方面的顶级期刊会议论文集

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cayman icon cayman

Cayman is a Jekyll theme for GitHub Pages

convex-optimization icon convex-optimization

A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeprl icon deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

drl_paper_summary icon drl_paper_summary

Summary of 100 key papers in deep reinforcement learning listed in OpenAI Spinning Up

drl_uav icon drl_uav

Deep reinforcement learning for UAV in Gazebo simulation environment

electron-ssr-backup icon electron-ssr-backup

electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜

interview icon interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

lab icon lab

A customisable 3D platform for agent-based AI research

large-scale-convex-optimization icon large-scale-convex-optimization

Simulation Code for "Large-scale convex optimization for dense wireless cooperative networks" by Yuanming Shi, Jun Zhang, Brendan O'Donoghue, and Khaled B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 18, Sept. 2015.

lihang icon lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

on-policy icon on-policy

This is the official implementation of Multi-Agent PPO.

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