Pinned Repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Certificates
dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
fin-ml
This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
getting-started-with-amazon-redshift-data-api
Samples to help you get started with the Amazon Redshift Data API
HeadlessChrome
Containerized Headless Chrome Automation
MartinR-L
MartinR-L.github.io
research
Notebooks based on financial machine learning.
MartinR-L's Repositories
MartinR-L/research
Notebooks based on financial machine learning.
MartinR-L/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
MartinR-L/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
MartinR-L/Certificates
MartinR-L/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
MartinR-L/fin-ml
This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
MartinR-L/getting-started-with-amazon-redshift-data-api
Samples to help you get started with the Amazon Redshift Data API
MartinR-L/HeadlessChrome
Containerized Headless Chrome Automation
MartinR-L/MartinR-L
MartinR-L/MartinR-L.github.io
MartinR-L/15_minute_streamlit_apps
Quick apps for demo purposes
MartinR-L/kaggle_work
MartinR-L/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.
MartinR-L/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
MartinR-L/mistree
A python package for constructing and analysing minimum spanning trees.
MartinR-L/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
MartinR-L/Notebooks
MartinR-L/prado-AML
Exercises from Advances in Financial Machine Learning
MartinR-L/precon
Functions for price index economics.
MartinR-L/price_indice_util
Calculate Bilateral and Multilateral Price Index Methods in Python (with Pandas and PySpark)
MartinR-L/Projects
MartinR-L/pyRMT
Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization
MartinR-L/RMT4ML
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
MartinR-L/RMT4RFM
A Random Matrix Approach for Random Feature Maps