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Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Reinforcement Learning for Optimal inventory policy
Supply Chain Reinforcement Learning
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Parallel Hyperparameter Tuning in Python
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
The Ultimate Product Data Science & Analytics Resource
Python package that makes analysis of tree based models easier.
Python package implementing transformers for pre processing steps for machine learning.
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 mo…
ATAforecasting Package for R - Automatic Time Series Analysis and Forecasting using Ata Method
Python Package for Functional Data Analysis
A functional regression framework built on Bayesian inference and RKHS's.
Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends
A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
Small python and C++ program to solve a MDP through backward induction
Approximate dynamic programming for stochastic optimal control in Pytorch
2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)
2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)