griseoventi

griseoventi's Stars

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook27.3k1.4k2467.9k

• girafe-ai/ml-course

  Open Machine Learning course

  Language:Jupyter Notebook2.5k66191.2k

• CamDavidsonPilon/lifetimes

  Lifetime value in Python

  Language:Python1.5k52300377

• google/lightweight_mmm

  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

  Language:Python95532189212

• retentioneering/retentioneering-tools

  Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

  Language:Python8294823126

• bgalbraith/bandits

  Python library for Multi-Armed Bandits

  Language:Jupyter Notebook742345156

• JWarmenhoven/DBDA-python

  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

  Language:Jupyter Notebook6782811262

• facebookarchive/bootstrapped

  Generate bootstrapped confidence intervals for A/B testing in Python.

  Language:Python636181699

• iosband/ts_tutorial

  Language:Jupyter Notebook3599594

• DP6/Marketing-Attribution-Models

  Python Class created to address problems regarding Digital Marketing Attribution.

  Language:Python327342885

• anamarina/RecSys_course

  Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2024/2025.

  Language:Jupyter Notebook1545136

• fidelity/mab2rec

  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender

  Language:Jupyter Notebook140132526

• GRousselet/rogme

  Robust Graphical Methods For Group Comparisons

  Language:R8661010

• tomcaputo/mixtape_learnr

  Language:Jupyter Notebook804026

• raffg/multi_armed_bandit

  Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing

  Language:Jupyter Notebook773021

• sberbank-ai-lab/RePlay

  RecSys Library

  Language:Python685616

• avito-tech/applied_statistics

  Language:Jupyter Notebook577134

• mtrencseni/playground

  Language:Jupyter Notebook553225

• big-data-team/python-course

  Course on how to write clean, maintainable and scalable code on Python

  Language:HTML3710031

• hmelberg/causal

  notebooks on methods for causal inference

  Language:Jupyter Notebook32108

• rjjfox/ab-test-calculator

  AB test calculator run through Streamlit

  Language:Python29134

• dimarkov/aibandits

  Active inference implementation of dynamic multi-armed bandits

  Language:Jupyter Notebook19322

• mlcoursemm/ml2023autumn

  Machine Learning course for MSU

  13401

• michaellindon/ssrm

  Sequential Sample Ratio Mismatch(SRM) Test

  Language:Python12102

• TheSarang/Predicting-Taiwanese-Bank-Credit-Card-Default-Payments

  This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005.

  Language:Jupyter Notebook11206

• MSchultzberg/SeqTestBlog

  Simulation files for Schultzberg & Ankargren blogpost 2023

  Language:R6102

• pauldraper/ab-test

  Language:Python4102

• cozyfootball/cozyfootball

  Language:Jupyter Notebook1

• fotol1/mts-hack

  Language:Python1100

• mattiasnordin/precision-based-designs

  Replication code for Precision-based designs for sequential randomized experiments

  Language:Python1101