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ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Portfolio optimization and back-testing.
Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
Implementation of the vanilla Deep Hedging engine
csp is a high performance reactive stream processing library, written in C++ and Python
A lightweight and high-performance order-book designed to process level 2 and trades data. Available in Rust and Python
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by st…
Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
A curated list of awesome multi-agent learning papers
Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.
经典数据结构和算法，Python实现，附带详细注释和完整测试用例。持续更新中……
⛽️「算法通关手册」：一本系统讲解算法与数据结构、涵盖 LeetCode 题解的中文学习手册
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。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions
A self-supervised learning framework for audio-visual speech
This project is personal website which has admin panel for content management.
Cryptocurrency Exchange Websocket Data Feed Handler
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)