Alternatives and similar repositories for pmtk3

Users that are interested in pmtk3 are comparing it to the libraries listed below

• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,304Updated 8 years ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,626Updated 4 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,986Updated 5 months ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆686Updated 9 years ago
• bayesnet / bnt
  Bayes Net Toolbox for Matlab
  ☆488Updated 6 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,841Updated last year
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 8 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆702Updated 4 months ago
• jatinshah / ufldl_tutorial
  Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆695Updated 11 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆291Updated 12 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆876Updated 5 years ago
• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆896Updated 11 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,035Updated 3 months ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,293Updated 10 years ago
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,139Updated 4 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆209Updated 3 years ago
• brendenlake / BPL
  Bayesian Program Learning model for one-shot learning
  ☆979Updated 9 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 6 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• goodfeli / dlbook_exercises
  Exercises for the Deep Learning textbook at www.deeplearningbook.org
  ☆1,403Updated 3 years ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆906Updated 4 years ago
• echen / restricted-boltzmann-machines
  Restricted Boltzmann Machines in Python.
  ☆970Updated 5 years ago
• peterroelants / peterroelants.github.io
  Blog
  ☆342Updated last month
• glouppe / phd-thesis
  Repository of my thesis "Understanding Random Forests"
  ☆526Updated 9 years ago
• kjw0612 / awesome-random-forest
  Random Forest - a curated list of resources regarding random forest
  ☆1,228Updated 2 years ago
• jluttine / tikz-bayesnet
  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
  ☆854Updated last year
• danluu / UFLDL-tutorial
  Deep Learning and Unsupervised Feature Learning Tutorial Solutions
  ☆393Updated 8 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago