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canglang xi's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

codeformer icon codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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

deeplearning icon deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeprl icon deeprl

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

dqn_zoo icon dqn_zoo

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

githubdaily icon githubdaily

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

hub icon hub

Submission to https://pytorch.org/hub/

leetcode icon leetcode

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解

leetcodetop icon leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥 推荐刷题网站:https://www.lintcode.com/?utm_source=tf-github-codetop

llama icon llama

Inference code for LLaMA models

parl icon parl

A high-performance distributed training framework for Reinforcement Learning

pytorch icon pytorch

Deep Learning Zero to All - Pytorch

q-learning-hot-air-balloon-reinforcement-learning- icon q-learning-hot-air-balloon-reinforcement-learning-

In this project I programmed a Q-learning algorithm and used it to play a simple game. The goal was to gain better insight into Q-learning, and see in action such concepts as exploration-vs-exploitation, choice of parameters, limitations of discrete world, etc. It was fun to see AI controlling an agent.

tianshou icon tianshou

An elegant PyTorch deep reinforcement learning library.

youtube-dl icon youtube-dl

Command-line program to download videos from YouTube.com and other video sites

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