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

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

Koç University deep learning framework.

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

In this paper, we apply machine learning to create bots for Halite III, @twosigma's annual A.I. competition. We develop one classifier using Support Vector Machine with Supervised Learning, and one…

awesome Julia

This is the Jupyter Notebooks + Outputs used to analyse the data collected about the MSE user "Cleo"