Stars
Implementation for the COPULA-SHIRLEY framework for differerentially-private synthetic data generation.
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Worldwide Stock Exchange holidays (NYSE, CME, B3, SSE, JPX)
Conditional GAN for generating synthetic tabular data.
Privacy Engineering Collaboration Space
Differentially Private (tabular) Generative Models Papers with Code
rongardF / tvdatafeed
Forked from sumit9926/tvdatafeedA simple TradingView historical Data Downloader
Python Backtesting library for trading strategies
Statistical Rethinking Course for Jan-Mar 2023
๐ ๐ Multidimensional synthetic data generation with Copula and fPCA models in Python
A Python library for vine copula models
Multivariate data modelling with Copulas in Python
Python copulas library for dependency modeling
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
Source code for the "Learning scikit-learn: Machine Learning in Python"
Metrics to evaluate quality and efficacy of synthetic datasets.
Python sync/async framework for Interactive Brokers API