Stars
Python toolkit for quantitative finance
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your pho…
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
Solana Dex Transaction Parser. A TypeScript library for parsing Solana DEX swap transactions. Supports multiple DEX protocols including Jupiter, Raydium, Meteora, PumpFun, and Moonshot.
An open-source transaction parser for popular DeFi applications on the Solana blockchain 🚀🤖..
Kronos: A Foundation Model for the Language of Financial Markets
Python Backtesting library for trading strategies
🦀 Small exercises to get you used to reading and writing Rust code!
anza-xyz / agave
Forked from solana-labs/solanaWeb-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
MEV-Boost allows Ethereum validators to source high-MEV blocks from a competitive builder marketplace
This is pump.fun bundler with jito. Open source Pumpfun bundler with jito
SDK for Hyperliquid API trading with Python.
A browser extension for automating your browser by connecting blocks
A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
Fast, unopinionated, minimalist web framework for node.
Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
GO Simple Tunnel - a simple tunnel written in golang
Yi-Gei / PlayCover
Forked from PlayCover/PlayCoverCommunity fork of PlayCover
Browser fingerprinting tools for anonymizing your scrapers. Developed by Apify.
💯 Teach puppeteer new tricks through plugins.
Official Selenium website and documentation
JavaScript API for Chrome and Firefox
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06