mindis

data-engineering-zoomcamp

Free Data Engineering course!

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

mango

Parallel Hyperparameter Tuning in Python

scikit-fda

Functional Data Analysis Python package

pyGPGO

Bayesian optimization for Python

SCIMAI-Gym

A Python library for addressing the Supply Chain Inventory Management problem through Deep Reinforcement Learning algorithms.

ultimate-product-ds

The Ultimate Product Data Science & Analytics Resource

FDApy

Python Package for Functional Data Analysis

GTM-Transformer

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

tubular

Python package implementing transformers for pre processing steps for machine learning.

public

2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)

SupplyChainv0_gym

Reinforcement Learning for Optimal inventory policy

hm-two-step-reco

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

ml-adp

Approximate dynamic programming for stochastic optimal control in Pytorch

dynamic_pricing

Backward-Dynamic-Programming

Small python and C++ program to solve a MDP through backward induction

lectures-2021-s2

SupplyChainReinforcement

Supply Chain Reinforcement Learning

ATAforecasting

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

amazon_dynamic_pricing

tfm

Trabajo de Fin de Máster del MUCD (UAM).

rk-bfr

A functional regression framework built on Bayesian inference and RKHS's.

tabular-trees

Python package that makes analysis of tree based models easier.

demand-prediction-guide2

2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)

proc_sim_app

simpy_inventory_model