Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data

A Deep Reinforcement Learning Approach to Supply Chain Inventory Management

Pytorch-Native Approximate Dynamic Programming for Finite-Horizon Discrete-Time Stochastic Optimal Control Problems

Python package to explain GBM predictions

Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends

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

Support for Talk at PyData London 2022

Reinforcement Learning algorithms (Python Tutorial)

Notebook to accompany MSTL article

ATAforecasting Package for R - Automatic Time Series Analysis and Forecasting using Ata Method

Supply Chain Reinforcement Learning

Data Efficient Decision Making

Lightning ⚡️ fast forecasting with statistical and econometric models

RecSys Library

A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms

The Ultimate Product Data Science & Analytics Resource

Library for creating dataframes from functions.

The standard package for machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Deep Reinforcement Learning for Recommender Systems

Cyclic Boosting Machines - an explainable supervised machine learning algorithm

Tutorial on Multi-Objective Recommender Systems @ KDD 2021

A repository to curate and summarise research papers related to fashion and e-commerce