probml / pmtk3

Related projects ⓘ

Alternatives and complementary repositories for pmtk3

• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,303Updated 7 years ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,590Updated 3 years ago
• bayesnet / bnt
  Bayes Net Toolbox for Matlab
  ☆465Updated 5 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,830Updated 7 months ago
• brendenlake / BPL
  Bayesian Program Learning model for one-shot learning
  ☆973Updated 8 years ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆995Updated last year
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,544Updated 4 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,387Updated 7 years ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆673Updated 8 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆688Updated 3 weeks ago
• jatinshah / ufldl_tutorial
  Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆693Updated 10 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,526Updated 3 months ago
• lisa-lab / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆4,123Updated 4 years ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,271Updated 8 years ago
• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆895Updated 10 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆878Updated 4 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,910Updated 7 months 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 11 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆414Updated 5 years ago
• siemanko / tensorflow-deepq
  A deep Q learning demonstration using Google Tensorflow
  ☆1,172Updated 7 years ago
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,205Updated 3 years ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆893Updated 3 years ago
• soumith / convnet-benchmarks
  Easy benchmarking of all publicly accessible implementations of convnets
  ☆2,682Updated 7 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆987Updated 2 weeks ago
• lisa-lab / pylearn2
  Warning: This project does not have any current developer. See bellow.
  ☆2,754Updated 3 years ago
• echen / restricted-boltzmann-machines
  Restricted Boltzmann Machines in Python.
  ☆950Updated 4 years ago
• mila-iqia / blocks
  A Theano framework for building and training neural networks
  ☆1,157Updated 5 years ago
• peterroelants / peterroelants.github.io
  Blog
  ☆336Updated 3 months ago
• gabrieleangeletti / Deep-Learning-TensorFlow
  Ready to use implementations of various Deep Learning algorithms using TensorFlow.
  ☆965Updated 7 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,847Updated this week