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Guillaume LG's Projects

awesome-quant icon awesome-quant

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

bagging-in-r icon bagging-in-r

Companion code for http://amunategui.github.io/bagging-in-R/

bettercrossvalidation icon bettercrossvalidation

Companion code for YouTube video: https://www.youtube.com/watch?v=Og7CGAfSr_Y&feature=youtu.be

blogs icon blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dawp icon dawp

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

demo_marchenko_pastur_analysis icon demo_marchenko_pastur_analysis

Presentation held at IMR Machine Learning journal club 15. October 2020. Demo Marcenko Pasture distribution applied to eigenvalues of random matrix

dx icon dx

DX Analytics | Financial and Derivatives Analytics with Python

e2e-dro icon e2e-dro

End-to-end distributionally robust optimization

finrl-library icon finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥

fractal-market-analysis icon fractal-market-analysis

We are hard pressed to find a concrete implementation of both Benoit Mandelbrot's "A Multifractal Model of Asset Returns" and Edgar E. Peters' "Fractal Market Analysis" so, with apologies to the Authors, we attempt to fill this vacancy.

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