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Starred repositories
A golang implementation of a console-based trading bot for cryptocurrency exchanges
📚 Go: Under The Hood | Go 语言原本 | https://golang.design/under-the-hood
simple, fast, reliable websocket server & client, supports running over tcp/kcp/unix domain socket. keywords: ws, proxy, chat, go, golang...
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
XChange is a Java library providing a streamlined API for interacting with 60+ Bitcoin and Altcoin exchanges providing a consistent interface for trading and accessing market data.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Source code for the X Recommendation Algorithm
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
A Python package for easy multiprocessing, but faster than multiprocessing
AI绘画资料合集(包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等) Stable diffusion、AnimateDiff、Stable Cascade 、Stable SDXL Turbo
Framework for Evolutionary Message-Driven Microservices on the JVM
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Scalable Python DS & ML, in an API compatible & lightning fast way.
Productive, portable, and performant GPU programming in Python.
NumPy aware dynamic Python compiler using LLVM
Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:
WTF Solidity 极简入门教程,供小白们使用。Now supports English! 官网: https://wtf.academy
Stable diffusion for real-time music generation (web app)
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Automatic extraction of relevant features from time series:
Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
A collection of useful, performant, and threadsafe Go datastructures.