Alternatives and similar repositories for ipython-notebooks:

Users that are interested in ipython-notebooks are comparing it to the libraries listed below

• ryotat / mlss15
  ☆58Updated 9 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆47Updated 7 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 8 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 7 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 2 years ago
• mblondel / spira
  Recommender systems in Python
  ☆50Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 6 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 9 years ago
• diefimov / otto_2015
  ☆30Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• civisanalytics / muffnn
  Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn
  ☆45Updated 2 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 9 years ago