Alternatives and similar repositories for prml

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

• kevin-keraudren / randomforest-python
  ☆59Updated 9 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• keon / pytorch-exercises
  Pytorch exercises
  ☆98Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆164Updated 10 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 9 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• kastnerkyle / kaggle-dogs-vs-cats
  Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
  ☆65Updated 5 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆209Updated 3 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 7 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• approximateinference / approximateinference.github.io
  Advances in Approximate Bayesian Inference Symposium
  ☆50Updated 2 weeks ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 3 years ago
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 8 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 4 years ago
• svishnu88 / pytorch
  All My Pytorch projects reside here
  ☆33Updated 8 years ago
• geyang / deep_learning_notes
  a collection of my notes on deep learning
  ☆123Updated 8 years ago
• tdeboissiere / Kaggle
  Code for Kaggle Competitions
  ☆128Updated 9 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 6 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆57Updated 11 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 5 years ago
• zackchase / mxnet-slides
  Slides from MXNet tutorials
  ☆51Updated 7 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 8 years ago