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

• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆217Updated 8 months ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 7 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 3 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆487Updated 4 years ago
• studioml / studio
  Studio: Simplify and expedite model building process
  ☆381Updated 8 months ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆134Updated 6 years ago
• amesar / mlflow-spark-summit-2019
  MLFlow Spark Summit 2019 Presentation
  ☆67Updated 5 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆221Updated 5 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆771Updated 4 years ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆338Updated last year
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 4 years ago
• kubeflow / example-seldon
  Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
  ☆174Updated 3 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆173Updated last year
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 9 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated last year
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆261Updated 9 months 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.
  ☆102Updated 3 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆72Updated 7 years ago
• jkthompson / pyspark-pictures
  Learn the pyspark API through pictures and simple examples
  ☆170Updated 4 years ago
• h2oai / awesome-h2o
  A curated list of research, applications and projects built using the H2O Machine Learning platform
  ☆379Updated last year
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆150Updated last year
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆285Updated 11 months ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆245Updated 7 months ago
• ThoughtWorksInc / cd4ml-workshop
  Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…
  ☆318Updated 7 months ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 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.
  ☆103Updated 5 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 7 years ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 9 years ago