Alternatives and similar repositories for mixed-naive-bayes

Users that are interested in mixed-naive-bayes are comparing it to the libraries listed below

• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆112Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• sergeyf / SmallDataBenchmarks
  Small Dataset Benchmarks on the Dataset of Datasets UCI++
  ☆87Updated 3 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 4 months ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 10 months ago
• thomasjpfan / awesome-python-data-science
  A curated list of Python libraries used for data science.
  ☆90Updated last year
• 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
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated 2 weeks ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆362Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆29Updated 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
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆173Updated last year
• copperheadCrotch / Sequential-Probability-Ratio-Test
  Python package for Wald's sequential probability ratio test
  ☆47Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 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 7 months ago
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆205Updated 3 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago