Collection of notebooks about quantitative finance, with interactive python code.
AGPL-3.0 License
Applications of Monte Carlo methods to financial engineering projects, in Python.
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Im...
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives...
Software and instructions for setting up and running a self-driving lab (autonomous experimentati...
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
This repository provides everything to get started with Python for Text Mining / Natural Language...
Tutorials for the InvestOps Python package
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps ...
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became th...
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
High-performance TensorFlow library for quantitative finance.
2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing
Research in investment finance with Python Notebooks