shy-b Goto Github PK

awesome-database-learning

A list of learning materials to understand databases internals

awesome-polars

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian-analysis-with-python-packt

Bayesian Analysis with Python (Second Edition)

change-point-detection-roerich

Roerich is a python library of change point detection algorithms for time series.

coursera-courses

Answers for Quizzes & Assignments that I have taken

financial-machine-learning-deprada

Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado

geographical-data-science

Geographic data science tutorials series

gtda-stock-market-crashes

How to detect stock market crashes with topology.

ibm-capstone-project

This repository is dedicated to the files which belong to the IBM DATA ANALYST certificate

ibm-ds-tools

this repository is for the IBM's DataScience Course for Data Science Tools' Final Assingment

ibm-ds-webscaping

lambdamart

Python implementation of LambdaMart

lambdamart-astraszab

Implementation of LambdaMART for ranking

m4metalearning-paper-r

the base metalearning approach for the tsfeatures package in python

microsoft-qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

mosum-change-point-detection

MOSUM procedure for multiple change point estimation

nixtla-statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

omslrsegmentation

Time Series Segmentation for OMSLR Paper

open-quant-live-book

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

packt-machine-learning-for-finance

Machine Learning for Finance, published by Packt

pca-package

pca: A Python Package for Principal Component Analysis.

piecewise-regression

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.

prometheus-forecast-timeseries

A collection of analysis, and machine learning techniques for time series forecasting w/ Prometheus metrics

psymonitor

Bubble detectionin financial markets

pymc-resources

PyMC educational resources

pyro

Deep universal probabilistic programming with Python and PyTorch

quantopian-archive

Quantitative research and educational materials

random_cut_forest

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams