massi82 / multi-armed-banditLinks
☆13Updated last year
Alternatives and similar repositories for multi-armed-bandit
Users that are interested in multi-armed-bandit are comparing it to the libraries listed below
Sorting:
- Mis proyectos de marketing aplicando AI☆11Updated 2 years ago
- ☆22Updated last year
- This project introduces Causal AI and how it can drive business value.☆48Updated 11 months ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …☆101Updated 3 months ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆38Updated last year
- GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry☆33Updated 2 months ago
- Hello world univariate examples for a variety of time series packages.☆55Updated 10 months ago
- ☆21Updated 2 weeks ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last month
- Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting l…☆19Updated 2 years ago
- Validation for forecasts☆18Updated 2 years ago
- ☆21Updated last year
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆59Updated 3 months ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- Forecasting: Principles and Practice☆60Updated 3 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆24Updated last month
- Forecasting lectures and tutorials using Python☆126Updated 7 years ago
- Repository for GH public projects☆18Updated last year
- Demo on how to use Prefect with Docker☆27Updated 2 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 3 months ago
- Examples of the application of individual scalecast models☆44Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- Feature engineering package with sklearn like functionality☆55Updated 11 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- The Orange Book of Machine Learning☆46Updated 4 months ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆105Updated 2 years ago
- Various utilities for time series forecasting☆10Updated 2 years ago