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

• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 3 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆218Updated last year
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆239Updated 2 months ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆72Updated 8 years ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆341Updated 2 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 7 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.
  ☆102Updated 3 years ago
• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆196Updated 6 years ago
• uberwach / kaggle-berlin
  Material of the Kaggle Berlin meetup group!
  ☆35Updated 7 years ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆261Updated last year
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 3 months ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆222Updated 6 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• jkthompson / pyspark-pictures
  Learn the pyspark API through pictures and simple examples
  ☆170Updated 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.
  ☆103Updated 5 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆75Updated 2 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 7 years ago
• adebayoj / fairml
  ☆365Updated 4 years ago