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Moustafa Chatzouz's Projects

awesome-quant icon awesome-quant

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

clustering-in-python icon clustering-in-python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

ddfm icon ddfm

Deep Dynamic Factor Models

fx_strategies icon fx_strategies

Public repo holding our projects: systematic models on financial markets

generative-opt icon generative-opt

Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

looper icon looper

A resource list for causality in statistics, data science and physics

machine-learning-for-asset-managers icon machine-learning-for-asset-managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

mlfinlab icon mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mortgage icon mortgage

Python mortgage amortization calculations

policy_cnfctls icon policy_cnfctls

Using policy shocks to construct systematic policy rule counterfactuals

pyaec icon pyaec

simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.

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