Alternatives and similar repositories for jupyterblog

Users that are interested in jupyterblog are comparing it to the libraries listed below

• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• choldgraf / write-ups
  Write ups about computational stuff, how-tos, and explanations
  ☆23Updated 8 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• CamDavidsonPilon / StartupFiles
  My IPython startup files.
  ☆109Updated 10 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆14Updated 9 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• damianavila / vIPer
  vIPer: a new tool for IPython notebooks.
  ☆60Updated 10 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 7 years ago
• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 8 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 9 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• aqibsaeed / Research-Paper-Categorization
  Research paper classification using machine learning and NLP
  ☆27Updated 6 years ago
• fabianp / nbgallery
  ☆21Updated 10 years ago
• odewahn / computational-publishing
  ☆67Updated 8 years ago
• GaelVaroquaux / stats_in_python_tutorial
  Material for the statistics in Python tutorial
  ☆43Updated 9 years ago
• pbugnion / jupyter-widgets-for-data-science-guis
  Creating user interfaces for data science with Jupyter widgets
  ☆11Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 2 months ago
• simplystats / simplystats.github.io
  Simply Statistics on Github
  ☆25Updated 3 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• UWSEDS / LectureNotes-Autumn2017
  Lecture notes & materials for the Autumn 2017 version of this course
  ☆10Updated 7 years ago
• fonnesbeck / ngcm_sklearn_2017
  scikit-learn course for 2017 NGCM Summer Academy
  ☆17Updated 8 years ago
• jwkvam / plotlywrapper
  simple plotly python api
  ☆42Updated 6 years ago