fakhrirobi

SciencePlots

Matplotlib styles for scientific plotting

tidytuesday

Official repo for the #tidytuesday project

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

algorithmica

A computer science textbook

pysystemtrade

Systematic Trading in python

nannyml

nannyml: post-deployment data science in python

planout

PlanOut is a library and interpreter for designing online experiments.

causallib

A Python package for modular causal inference analysis and model evaluations

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

halflife-regression

multi-armed-bandit

Play with the solutions to the multi-armed-bandit problem.

SMPyBandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

upliftml

UpliftML: A Python Package for Scalable Uplift Modeling

causalML-teaching

This repository consolidates my teaching material for "Causal Machine Learning".

Ambrosia

Ambrosia is a Python library for A/B tests design, split and result measurement

da_case_studies

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

Design-and-Analysis-of-Experiments

Lecture Notes on Design & Analysis of Experiments

pytest-docker-tools

Opionated helpers for creating py.test fixtures for Docker integration and smoke testing environments

ab-testing-resources

probabilistic_python

PyData London 2022 Tutorial

littlemcmc

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

azcausal

Causal Inference in Python

rhat_ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

isotonic

Library for fancy isotonic regression, more than what's in sklearn

WS19_Python_for_Psychologists

causal-datasets

Datasets for Causal-Structure-Learning Repo

user_preference_modeling

Multiple ways to model user preference in recommender systems

pymc-mlflow-example

MLflow logging for PyMC

courses

Course materials (syllabi, lecture notes, etc.)

bitl

Bandits in the loop - offline multi-armed bandit policy evaluation library