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An open-source library of fair division algorithms in Python
A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)
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…
UpliftML: A Python Package for Scalable Uplift Modeling
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
advertools - online marketing productivity and analysis tools
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Python port of CausalImpact R library
Pandas integration with sklearn
introduction to using pyodbc with Cloud SQL for SQL Server
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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.
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…
Uplift modeling and causal inference with machine learning algorithms
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
A repository of data on coronavirus cases and deaths in the U.S.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Boilerplate CookieCutter template for Flask web apps
Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap
A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
Fast creation and configuration of topologies, traffic matrices and event schedules for network experiments
Agent-based computational Economics, the Python library that makes AB modelling easier
A framework for modeling and simulating dynamical systems