MindaugasZickus

glum

High performance Python GLMs with all the features!

timefold-quickstarts

Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

pricing_transformer

Research project, using a Decision Pretrained Transformer (DPT) for dynamic pricing

pricing-and-advertising-machine-learning

Data Intelligence Application: Pricing and Advertising learning strategies

mabwiser

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

d3rlpy

An offline deep reinforcement learning library

fklearn

fklearn: Functional Machine Learning

HiGHS

Linear optimization software

salabim

salabim - discrete event simulation

incubator-kie-optaplanner

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

contextualbandits

Python implementations of contextual bandits algorithms

SOFTS

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

supinfo_mlops_course

choice-learn

Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

MST

Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees

pyfixest

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

PerishableDCM

This library simulates the inventory control problem of perishable products by means of Discrete Choice Methods (DCM)

gymnax

RL Environments in JAX 🌍

viso_jax

GPU-accelerated value iteration and simulation for perishable inventory control using JAX

quantile-forest

Quantile Regression Forests compatible with scikit-learn.

StochOptForest

Replication Code for Paper "Stochastic Optimization Forests".

astartes

Better Data Splits for Machine Learning

iccps-2022-paratransit-public

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

cfml_book

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

practical-bandits-tutorial

RecBole

A unified, comprehensive and efficient recommendation library

forecasting-with-machine-learning

Code repository for the course "Forecasting with Machine Learning Models"