All Algorithms implemented in Python

Financial data platform for analysts, quants and AI agents.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

A curated list of practical financial machine learning tools and applications.

Portfolio analytics for quants, written in Python

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

High-performance TensorFlow library for quantitative finance.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

modular quant framework.

QTPyLib, Pythonic Algorithmic Trading

[ECCV 2024] GVGEN: Text-to-3D Generation with Volumetric Representation