Alternatives and similar repositories for data-science-docker-template

Users that are interested in data-science-docker-template are comparing it to the libraries listed below

• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆85Updated 2 years ago
• Apress / docker-for-data-science
  Source code for 'Docker for Data Science' by Joshua Cook
  ☆36Updated 8 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 4 years ago
• faizanbashir / python-datascience
  Docker image for python datascience container with NumPy, SciPy, Scikit-learn, Matplotlib, nltk, pandas packages installed.
  ☆48Updated 6 years ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago
• realpython / flask-bokeh-example
  ☆65Updated 8 years ago
• savvastj / model_interpretability_post
  ☆15Updated 7 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• duarteocarmo / automation-post
  📝 A blog post about report generation and automation in python
  ☆39Updated 6 years ago
• gakhov / pycon-ua-2018
  Talk at PyCon UA 2018 (Kharkov, Ukraine)
  ☆64Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• minrk / jupyterhub-pydata-2016
  ☆66Updated 9 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• alysivji / talks
  Code, slides, and documentation for the talks I have given.
  ☆113Updated 3 months ago
• maxhumber / MVML
  ⭕️ Minimum Viable Machine Learning
  ☆33Updated 4 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 5 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 11 months ago
• iiSeymour / Flasked-Notebooks
  Rendering IPython Notebooks using Flask
  ☆65Updated 11 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• sachinruk / Dockerfiles
  A place where I build Dockerfiles used in other projects. Built in CircleCI.
  ☆19Updated 5 years ago
• thomasnield / oreilly_reactive_python_for_data
  Resources for the O'Reilly online video "Reactive Python for Data"
  ☆112Updated 7 years ago
• douglas125 / AzureMLDeploy
  A very simple way to deploy any machine learning model using Azure Functions
  ☆29Updated 6 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 5 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 7 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 7 years ago
• h2oai / article-information-2019
  Article for Special Edition of Information: Machine Learning with Python
  ☆13Updated 8 months ago