Alternatives and similar repositories for data-science-process-management

Users that are interested in data-science-process-management are comparing it to the libraries listed below

• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 7 years ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆223Updated 2 months ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆342Updated 2 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆227Updated 8 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆223Updated 6 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 8 months ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆490Updated 5 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆197Updated 6 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆80Updated 2 years ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 10 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆71Updated 8 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago
• linkedin / isolation-forest
  A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scal…
  ☆251Updated last week
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 9 months ago
• jkthompson / pyspark-pictures
  Learn the pyspark API through pictures and simple examples
  ☆170Updated 5 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆781Updated 5 years ago
• christophebourguignat / notebooks
  ☆160Updated 9 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated last week
• adebayoj / fairml
  ☆366Updated 4 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆171Updated 3 weeks ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago