Alternatives and similar repositories for peterroelants.github.io

Users that are interested in peterroelants.github.io are comparing it to the libraries listed below

• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆165Updated 10 years ago
• benanne / kaggle-galaxies
  Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
  ☆497Updated 11 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆269Updated 3 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆413Updated 6 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• vinhkhuc / PyTorch-Mini-Tutorials
  Minimal tutorials for PyTorch
  ☆329Updated 5 years ago
• glouppe / phd-thesis
  Repository of my thesis "Understanding Random Forests"
  ☆527Updated 9 years ago
• vict0rsch / deep_learning
  Deep Learning Resources and Tutorials using Keras and Lasagne
  ☆426Updated 5 years ago
• CyberPoint / libpgm
  A library for creating and using probabilistic graphical models
  ☆75Updated 8 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆221Updated 3 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆217Updated 7 years ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆687Updated 10 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆225Updated 9 years ago
• yala / introdeeplearning
  ☆265Updated 8 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆254Updated 7 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆267Updated 6 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 9 years ago
• mila-iqia / summerschool2015
  Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
  ☆389Updated 10 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆269Updated 9 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 3 weeks ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆365Updated 8 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆296Updated 10 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• KnHuq / Dynamic-Tensorflow-Tutorial
  Tensorflow tutorial of building different dynamic recurrent neural network
  ☆498Updated 7 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆119Updated 9 years ago
• HIPS / Probabilistic-Backpropagation
  Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
  ☆191Updated 6 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆154Updated 10 years ago