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A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
betfairlightweight - Betfair API-NG python wrapper (with streaming)
NBA sports betting using machine learning
Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It do…
Robust Statistical Arbitrage Strategies
Quantitative analysis, strategies and backtests
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…
Python libraries to call UN Comtrade APIs
An asynchronous Python wrapper for the Fantasy Premier League API.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
A Python library for Nasdaq Data Link's RESTful API
Python toolkit for quantitative finance
Exercises and projects for Jane Street's OCaml Workshop
Privacy-Preserving Machine Learning (PPML) Tutorial
This will have all the solutions to the competitive programming course's problems by Coding ninjas. Star the repo if you like it.
Coursera Deep Learning Specialization
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.