Alternatives and similar repositories for magi

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

• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• nlittlepoole / thermometr
  Open Source Anomaly Detection in Python
  ☆40Updated 10 years ago
• roycoding / slots
  A multi-armed bandit library for Python
  ☆82Updated 5 years ago
• jnmclarty / validada
  Another library for defensive data analysis.
  ☆29Updated 7 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 8 years ago
• dask / dask-xgboost
  ☆161Updated 4 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 months ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• jeroenjanssens / scikit-sos
  A Python implementation of the Stochastic Outlier Selection algorithm
  ☆92Updated last year
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 10 years ago
• 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
• Nth-iteration-labs / streamingbandit
  Python application to setup and run streaming (contextual) bandit experiments.
  ☆83Updated 4 months ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆44Updated 10 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 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…
  ☆120Updated last year
• gameofdimension / xgboost_explainer
  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer
  ☆42Updated 7 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 8 months ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 10 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆57Updated 7 years ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 7 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• alex-pirozhenko / sklearn-pmml
  A library that allows serialization of SciKit-Learn estimators into PMML
  ☆72Updated 6 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated 7 months ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year