Alternatives and similar repositories for prml

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

• kevin-keraudren / randomforest-python
  ☆58Updated 9 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆30Updated 8 years ago
• ishank26 / nn_from_scratch
  Multilayer Neural Network using numpy.
  ☆55Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 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
• astahlman / MLaPP
  Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
  ☆47Updated 8 years ago
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 8 years ago
• kastnerkyle / kaggle-dogs-vs-cats
  Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
  ☆65Updated 4 years ago
• zygmuntz / kaggle-cifar
  Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
  ☆44Updated 10 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 10 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 9 years ago
• lamblin / bayareadlschool
  Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
  ☆114Updated 8 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• diefimov / otto_2015
  ☆30Updated 8 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 8 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆56Updated 11 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• HusainZafar / TransferLearningTutorial
  Applying transfer learning to a custom dataset by retraining Inception's final layer
  ☆93Updated 7 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• bpjsincl / coursera-neural-net
  Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
  ☆41Updated 9 years ago
• ragavvenkatesan / yann
  This toolbox is support material for the book on CNN (http://www.convolution.network).
  ☆41Updated 7 years ago
• delta2323 / DLIF-tutorial
  Coding example of DLIF tutorial
  ☆66Updated 8 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 7 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• sth4nth / PRML
  Pattern recognition and machine learning toolbox
  ☆39Updated 3 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago