Alternatives and similar repositories for PipeGraph:

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

• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆27Updated 9 months ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 7 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• scikit-learn-contrib / mimic
  mimic calibration
  ☆21Updated 5 years ago
• KacperKubara / distython
  Distance metrics which can handle mixed-type data and missing values
  ☆59Updated 2 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆150Updated last year
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆56Updated 2 years ago
• alexfields / multiisotonic
  Multidimensional isotonic regression
  ☆27Updated 8 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆285Updated 8 months ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 6 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆72Updated this week
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• wdm0006 / sklearn-extensions
  A consolidated package of small extensions to scikit-learn
  ☆24Updated 2 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆75Updated 2 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆84Updated 4 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆28Updated last year
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 3 years ago
• PiotrekGa / pruned-cv
  Machine Learning package allowing faster cross-validation
  ☆18Updated 5 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆143Updated last year