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
• keon / pytorch-exercises
  Pytorch exercises
  ☆98Updated 8 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• krishnakalyan3 / MixtureOfExperts
  Master Thesis. Code written in python. (Keras with Tensorflow backend)
  ☆24Updated 5 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 8 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
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 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
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 8 years ago
• HusainZafar / TransferLearningTutorial
  Applying transfer learning to a custom dataset by retraining Inception's final layer
  ☆94Updated 8 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆62Updated 11 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 7 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
• tdeboissiere / Kaggle
  Code for Kaggle Competitions
  ☆128Updated 9 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• lizhaoliu / tensorflow_snippets
  ☆97Updated 6 years ago
• geyang / deep_learning_notes
  a collection of my notes on deep learning
  ☆123Updated 8 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
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• sujitpal / fttl-with-keras
  Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras
  ☆85Updated 8 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 3 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆82Updated 10 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆57Updated 11 years ago
• ieee8023 / NeuralNetwork-Examples
  The same small networks implemented in different frameworks
  ☆70Updated 5 years ago