Alternatives and similar repositories for siglearn:

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

• jakevdp / PythonLectures
  Various One-off Lectures on Python
  ☆24Updated 9 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆14Updated 8 years ago
• ClimbsRocks / empythy
  Automated NLP sentiment predictions- batteries included, or use your own data
  ☆18Updated 7 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• jakevdp / git-intro
  Git/Github Intro
  ☆13Updated 9 years ago
• rsnemmen / parallel-python-tutorial
  Parallel Computing with Python
  ☆29Updated last year
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• UWSEDS / LectureNotes-Autumn2017
  Lecture notes & materials for the Autumn 2017 version of this course
  ☆10Updated 7 years ago
• jbwhit / berkeley-jupyter-notebook
  Jupyter Notebook tips and tricks for the Berkeley Institute for Data Science lecture. http://bids.berkeley.edu/
  ☆28Updated 9 years ago
• mvaz / PyData2014-Berlin
  Networks meet Finance in Python - July 27 2014
  ☆23Updated 10 years ago
• DistrictDataLabs / minimum-entropy
  Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.
  ☆17Updated 8 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• jakevdp / SeattleBike
  Understanding Seattle Bike Count data
  ☆17Updated 7 years ago
• foucart / Mathematical_Pictures_at_a_Data_Science_Exhibition
  This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…
  ☆11Updated 2 years ago
• drivendata / boxplots-for-education-1st-place
  ☆14Updated 10 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• xlwings / talks
  Material from presentations
  ☆13Updated 3 years ago
• IntelPython / workshop
  Getting Python Performance with Intel(R) Distribution for Python
  ☆13Updated 2 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• mlgill / pdLSR
  Pandas-aware non-linear least squares regression using Lmfit
  ☆10Updated 8 years ago