Python Backtesting library for trading strategies

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

Python toolkit for quantitative finance

Asynchronous, event-driven algorithmic trading in Python and C++

This project is trying to fetch real time balance & orderbook of ETH and visualise using dash

🔎 📈 🐍 💰 Backtest trading strategies in Python.

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalabilit…

Code for Machine Learning for Algorithmic Trading, 2nd edition.

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

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Applied Deep Learning

Notebooks for "Probabilistic Machine Learning" book

一个综合了豆瓣，goodreads综合评分的计算机书籍书单

This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, th…

Master repository for the pandas-ml modules

Financial Sentiment Analysis with BERT

Must-read papers on improving efficiency for pre-trained language models.

Implicit economic sentiment classification experiments

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance.

Implementing a Generative Adversarial Network on the Stock Market

Materials of the Nordic Probabilistic AI School 2021.

This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).

EPFL Course - Optimization for Machine Learning - CS-439

LeetCode 101：和你一起你轻松刷题（C++）

Keras documentation, hosted live at keras.io