Mindaugas Zickus (mindis)

mindis

Geek Repo

Company:Marks and Spencer

Location:London, UK

Twitter:@MindisZ

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Mindaugas Zickus's repositories

prom2click

Prometheus remote storage adaptor for Clickhouse

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drl-recsys

Deep Reinforcement Learning for Recommender Systems

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ExperimentationResources

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

hamilton

Library for creating dataframes from functions.

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PyDataAUC

Support for Talk at PyData London 2022

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ATAforecasting

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

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awesome-fashion-ai

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

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CBM

Cyclic Boosting Machines - an explainable supervised machine learning algorithm

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cleanlab

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

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GTM-Transformer

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

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hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

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hm-two-step-reco

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

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lightweight_mmm

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

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ml-adp

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

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moorecsys.github.io

Tutorial on Multi-Objective Recommender Systems @ KDD 2021

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MSTL

Notebook to accompany MSTL article

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project-azua

Data Efficient Decision Making

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reinforcement-learning-tutorials

Reinforcement Learning algorithms (Python Tutorial)

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RePlay

RecSys Library

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SCIMAI-Gym

A Deep Reinforcement Learning Approach to Supply Chain Inventory Management

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statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models

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SupplyChainReinforcement

Supply Chain Reinforcement Learning

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tabular-trees

Python package to explain GBM predictions

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ultimate-product-ds

The Ultimate Product Data Science & Analytics Resource

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