Curated list of project-based tutorials

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…

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Python wrapper for TA-Lib (http://ta-lib.org/).

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.

Collection of notebooks about quantitative finance, with interactive python code.

The QuantLib C++ library

Portfolio analytics for quants, written in Python

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

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

High-performance TensorFlow library for quantitative finance.

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

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.

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

A list of online resources for quantitative modeling, trading, portfolio management

QTPyLib, Pythonic Algorithmic Trading

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

Package for extracting emotions from social media text. Tailored for financial data.

Advanced Fisheries Economics Workshop Training materials

A collection of ORE related materials to share with the community