Alternatives and similar repositories for orbyter-docker:

Users that are interested in orbyter-docker are comparing it to the libraries listed below

• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆130Updated 5 years ago
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆71Updated last year
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 4 months ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 6 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆99Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• DavisTownsend / magi
  high level wrapper for parallel univariate time series forecasting
  ☆17Updated 6 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆113Updated last year
• whiteboxml / teaching-ml-in-production
  ☆54Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆75Updated 11 months ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆117Updated 4 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆55Updated 3 years ago
• hackalog / easydata
  A flexible template for doing reproducible data science in Python.
  ☆110Updated 8 months ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆81Updated 3 years ago
• d6t / d6tpipe
  Push and pull data files like code
  ☆176Updated last year
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• d6t / d6t-python
  Accelerate data science
  ☆117Updated 3 years ago
• bnh-ai / resources
  ☆26Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 8 months ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated last year
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 8 years ago