Alternatives and similar repositories for pipeasy-spark

Users that are interested in pipeasy-spark are comparing it to the libraries listed below

• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated last week
• esafak / mca
  Multiple correspondence analysis
  ☆181Updated 2 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆150Updated last year
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 3 months ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆271Updated this week
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated 2 months ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 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 6 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆78Updated last year
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆61Updated 10 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆29Updated 3 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆287Updated last year