Alternatives and similar repositories for pydata_berlin_2017_active_learning:

Users that are interested in pydata_berlin_2017_active_learning are comparing it to the libraries listed below

• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• mrocklin / dask-workshop
  ☆28Updated 7 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• pavanramkumar / pydata-chicago-2016
  Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/
  ☆11Updated 8 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆56Updated 9 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• twiecki / ipython_nb_cluster
  Scripts to launch IPython parallel on a cluster and run an IPython Notebook to run the analysis.
  ☆27Updated 11 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 8 years ago
• HCsoft-RD / shaolin
  Data visualization and analysis library based on the pydata stack
  ☆19Updated 7 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• gapatino / Making-Your-Code-Faster-Cython-and-parallel-processing-in-the-Jupyter-Notebook
  Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
  ☆12Updated 8 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated last year
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• evfro / TensorGlue
  Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
  ☆26Updated 9 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• mrocklin / dask-spark
  Dask and Spark interactions
  ☆21Updated 8 years ago
• zhangzhang10 / pydaal-tutorials
  Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library
  ☆11Updated 7 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• drivendata / boxplots-for-education-1st-place
  ☆14Updated 10 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago