Alternatives and similar repositories for ml2016

Users that are interested in ml2016 are comparing it to the libraries listed below

• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆164Updated 10 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆291Updated 12 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆30Updated 8 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• amueller / ml_meetup_nyc_2016
  Material for Machine Learning Meetup "Machine Learning with Scikit-learn"
  ☆29Updated 9 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆269Updated 3 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆298Updated 8 years ago
• inf16nyu / home
  ☆78Updated 9 years ago
• jseabold / statsmodels-tutorial
  Tutorial Created for SciPy 2012
  ☆58Updated 12 years ago
• twiecki / pymc3_talk
  Bayesian Analysis in PyMC3.
  ☆79Updated 11 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 9 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆65Updated 11 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆220Updated 2 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• mmmayo13 / scikit-learn-beginners-tutorials
  Abridged implementation of the official scikit-learn beginner tutorials
  ☆51Updated 9 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• glouppe / tutorials-scikit-learn
  Scikit-Learn tutorials
  ☆131Updated 7 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• shark8me / Building_Probabilistic_Graphical_Models_in_Python
  Source code for the book "Building Probabilistic Graphical Models in Python"
  ☆30Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• ajschumacher / gadsdc
  materials for General Assembly Data Science DC course
  ☆81Updated 10 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 8 years ago
• ttvand / Facebook-V
  Cleaned code of the winning submission of the Kaggle Recruiting Competition
  ☆124Updated 6 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• profjsb / python-seminar
  Python for Data Science (Seminar Course at UC Berkeley; AY 250)
  ☆332Updated 3 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago