limitspro Goto Github PK

2048

No Ads, More Advanced 2048 Game

30min_guides

覃健祥的学习笔记，各种几十分钟入门的文档

algorithms-design-and-analysis

Algorithms I learned from Stanford's Algorithms: Design and Analysis

algs4

Algorithms, 4th edition textbook code and libraries

alimusic

天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。

aqistudy

全国122个城市历史空气质量爬取

atec-2018

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

backpack_exchange

backpack 刷交易量 JavaScript 只刷sol/usdc

bitcoin

Bitcoin Core integration/staging tree

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

chat

有用户管理功能的ChatGPT API透明代理后台

chatgpt-api-server

API server for ChatGPT

chatgpt-on-wechat

使用ChatGPT搭建微信聊天机器人，基于OpenAI API和itchat实现。Wechat robot based on ChatGPT, which using OpenAI api and itchat library.

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

config-files

random config files

coursera-machine-learning

Coursera Machine Learning - Python code

cs231n.github.io

Public facing notes page

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

design-of-computer-programs

Code and notes from Peter Norvig's Design of Computer Programs (Udacity)

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

dml

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

downkyi

哔哩下载姬downkyi，B站视频下载工具，支持批量下载，支持4K，支持解除地区限制下载，提供工具箱（音视频提取、去水印等）。

emacs-rails

Minor mode for editing RubyOnRails code in Emacs

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

etym

English Etymology application

fuckbaiduyun

百度网盘快速加解密工具

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision