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An open-source library of fair division algorithms in Python

Python 36 48 Updated Mar 25, 2024

A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)

Python 173 10 Updated Nov 17, 2022

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Jupyter Notebook 3,907 725 Updated Dec 23, 2024

UpliftML: A Python Package for Scalable Uplift Modeling

Python 321 29 Updated Mar 23, 2023

notebooks using interpretable models

Jupyter Notebook 5 1 Updated Nov 9, 2021
Jupyter Notebook 23 5 Updated Aug 19, 2020

Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle

Jupyter Notebook 38 141 Updated Jul 7, 2017

Lifetime value in Python

Python 1,453 375 Updated Jun 28, 2024

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Jupyter Notebook 2,809 491 Updated Dec 9, 2024

advertools - online marketing productivity and analysis tools

Python 1,165 217 Updated Dec 19, 2024

CausalLift: Python package for causality-based Uplift Modeling in real-world business

Python 343 42 Updated May 13, 2023

Python port of CausalImpact R library

Jupyter Notebook 279 64 Updated Apr 22, 2024

Pandas integration with sklearn

Python 2,819 414 Updated Jun 8, 2023

introduction to using pyodbc with Cloud SQL for SQL Server

Jupyter Notebook 4 3 Updated Dec 16, 2019

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Python 18,671 4,552 Updated Oct 28, 2024

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Jupyter Notebook 740 115 Updated Aug 20, 2024

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Python 7,200 936 Updated Nov 24, 2024

Uplift modeling and causal inference with machine learning algorithms

Python 5,157 786 Updated Dec 27, 2024

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

JavaScript 1,227 375 Updated Mar 10, 2023

A repository of data on coronavirus cases and deaths in the U.S.

6,994 3,459 Updated Apr 2, 2024

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

29,102 18,372 Updated Jun 10, 2023

Boilerplate CookieCutter template for Flask web apps

JavaScript 19 2 Updated Jul 2, 2015

Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap

Python 1,549 544 Updated Nov 3, 2023

A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.

Python 3,045 483 Updated Mar 21, 2024

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Python 129 26 Updated Sep 6, 2022

Fast creation and configuration of topologies, traffic matrices and event schedules for network experiments

Python 129 31 Updated Nov 13, 2024

Agent-based computational Economics, the Python library that makes AB modelling easier

Python 195 66 Updated Jan 23, 2024

A framework for modeling and simulating dynamical systems

Python 600 74 Updated Oct 17, 2023

salabim - discrete event simulation

Python 313 66 Updated Dec 22, 2024
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