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
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆490Updated 4 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆222Updated last month
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 6 months ago
• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆195Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆227Updated 8 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 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 4 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆222Updated 6 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 7 months ago
• amesar / mlflow-spark-summit-2019
  MLFlow Spark Summit 2019 Presentation
  ☆67Updated 6 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆71Updated 8 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆342Updated 2 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
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆78Updated 2 years ago
• paypal / autosklearn-zeroconf
  autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…
  ☆171Updated 6 years ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆780Updated 5 years ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆172Updated 2 years ago
• mratsim / home-credit-default-risk
  Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
  ☆80Updated 7 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago