Alternatives and similar repositories for multi-armed-bandit:

Users that are interested in multi-armed-bandit are comparing it to the libraries listed below

• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆9Updated 9 months ago
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆10Updated 2 years ago
• zedshape / zgrouping
  ☆23Updated 2 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆33Updated 2 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆46Updated 7 months ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• mito-ds / snowflake-streamlit-bank-performance-demo
  A demo of the Mito Streamlit Spreadsheet
  ☆18Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• dataman-git / Handbook-of-anomaly-detection
  ☆16Updated 6 months ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆17Updated last week
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• PJalgotrader / Deep_forecasting-USU
  GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry
  ☆25Updated this week
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• BexTuychiev / strimlitbook
  Convert Jupyter Notebooks to identical Streamlit web apps. A future drop-in replacement to the Jupyter Book project.
  ☆16Updated 7 months ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• jimliu741523 / headjackai-sdk
  ☆17Updated 2 years ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• jrodenberg0 / vn1_fcst
  This repo houses my VN1 Forecasting Notebook for Phase One.
  ☆16Updated 5 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• vcerqueira / blog
  ☆17Updated last year
• AI-Maker-Space / Chainlit-Event-AIM
  A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!
  ☆11Updated 6 months ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆59Updated 2 years ago
• MISHRA19 / Computing-Max-Drawdown-with-Python
  Modelling Maximum Drawdown with Python
  ☆10Updated 4 years ago
• bquistorff / pricingengine
  ☆19Updated 6 years ago
• khuyentran1401 / prefect-dvc
  ☆23Updated 2 years ago
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated last year
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆42Updated 2 weeks ago