Alternatives and similar repositories for random-stuff

Users that are interested in random-stuff are comparing it to the libraries listed below

• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• aslakey / CBM_Encoding
  CBM Encoding
  ☆19Updated 4 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated 9 months ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 5 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 3 months 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
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 8 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 6 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆29Updated 3 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 6 months ago
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆38Updated 6 months ago
• copperheadCrotch / Sequential-Probability-Ratio-Test
  Python package for Wald's sequential probability ratio test
  ☆47Updated last year
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆18Updated last year
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆31Updated last year