Alternatives and similar repositories for hyperspace:

Users that are interested in hyperspace are comparing it to the libraries listed below

• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 10 months ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆30Updated 3 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆76Updated this week
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆83Updated last year
• marrrcin / pandas-feature-union
  Use Pandas DataFrame with scikit-learn Pipelines and Feature Unions
  ☆32Updated 5 years ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆16Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• transferwise / wise-pizza
  A library to find and visualise the most interesting slices in multidimensional data
  ☆109Updated this week
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆116Updated 10 months ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆59Updated 7 months ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆80Updated 3 years ago
• drivendataorg / rinse-over-run
  Winners of the Sustainable Industry: Rinse Over Run competition
  ☆21Updated last year
• AdiVarma27 / pyAB
  Python package for Bayesian & Frequentist A/B Testing
  ☆12Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 11 months ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago