mindis's Stars
DataTalksClub/data-engineering-zoomcamp
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
deepchecks/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.
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
microsoft/maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting đź‘‘ with statistical and econometric methods.
ARM-software/mango
Parallel Hyperparameter Tuning in Python
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
GAA-UAM/scikit-fda
Functional Data Analysis Python package
josejimenezluna/pyGPGO
Bayesian optimization for Python
frenkowski/SCIMAI-Gym
A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
sithankanna/ultimate-product-ds
The Ultimate Product Data Science & Analytics Resource
lvgig/tubular
Python package implementing transformers for pre processing steps for machine learning.
StevenGolovkine/FDApy
Python Package for Functional Data Analysis
HumaticsLAB/GTM-Transformer
Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends
demand-prediction-guide/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)
kishorkukreja/SupplyChainv0_gym
Reinforcement Learning for Optimal inventory policy
biarne-a/hm-two-step-reco
An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
rbosh/ml-adp
Approximate dynamic programming for stochastic optimal control in Pytorch
burakdogrul/dynamic_pricing
freshtaste/Backward-Dynamic-Programming
Small python and C++ program to solve a MDP through backward induction
alsabtay/ATAforecasting
ATAforecasting Package for R - Automatic Time Series Analysis and Forecasting using Ata Method
ECON-3127-4414-8014/lectures-2021-s2
kishorkukreja/SupplyChainReinforcement
Supply Chain Reinforcement Learning
andriiaprysiazhnyk/amazon_dynamic_pricing
antcc/tfm
Trabajo de Fin de Máster del MUCD (UAM).
antcc/rk-bfr
A functional regression framework built on Bayesian inference and RKHS's.
richardangell/tabular-trees
Python package that makes analysis of tree based models easier.
mindis/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)
rjanardhan1979/proc_sim_app
rjanardhan1979/simpy_inventory_model