yieldslabs,Yields Labs,github

acme

A library of reinforcement learning components and agents

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

applied_macroeconomics

Applied Macroeconomics, a course taught at the University of Warsaw

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

causalml

Uplift modeling and causal inference with machine learning algorithms

cfds

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

deep-hedging

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepdow

Portfolio optimization with deep learning.

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.