Alternatives and similar repositories for magi

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

• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• Nth-iteration-labs / streamingbandit
  Python application to setup and run streaming (contextual) bandit experiments.
  ☆83Updated 4 months ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 8 years ago
• gameofdimension / xgboost_explainer
  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer
  ☆42Updated 7 years ago
• nlittlepoole / thermometr
  Open Source Anomaly Detection in Python
  ☆40Updated 10 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 10 years ago
• dask / dask-xgboost
  ☆161Updated 4 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 9 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago
• jnmclarty / validada
  Another library for defensive data analysis.
  ☆29Updated 7 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆104Updated 2 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 7 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• roycoding / slots
  A multi-armed bandit library for Python
  ☆82Updated 5 years ago
• quantopian / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆75Updated 9 years ago
• TomAugspurger / skmca
  A scikit-learn compatible implementation of MCA
  ☆30Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• viveksck / changepoint
  Change Point detection python
  ☆40Updated 3 years ago
• EFavDB / linselect
  ☆88Updated 7 years ago
• andreas-h / pyloess
  loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess
  ☆56Updated 8 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 10 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago