Alternatives and similar repositories for pmtkdata

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

• jngiam / sparseFiltering
  Sparse Filtering
  ☆220Updated 13 years ago
• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆190Updated 10 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 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
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆55Updated 6 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• joncox123 / Cortexsys
  Matlab GPU Accelerated Deep Learning Toolbox
  ☆70Updated 8 years ago
• xinlin192 / GraphicalModel
  Courera Version of Graphical Model.. Cooperate with Jian Guo.
  ☆122Updated 8 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆69Updated 7 years ago
• qiuwch / DeepLearning
  Deep learning code by Hinton
  ☆93Updated 13 years ago
• DL-Benchmarks / DL-Benchmarks
  Comparative Study of Deep Learning Software Frameworks
  ☆70Updated 9 years ago
• zellyn / deeplearning-class-2011
  Code for Deep Learning class at Google
  ☆73Updated 13 years ago
• gynnash / AutoEncoder
  Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder
  ☆65Updated 11 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 10 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆145Updated 6 years ago
• ishank26 / nn_from_scratch
  Multilayer Neural Network using numpy.
  ☆55Updated 8 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆48Updated 11 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• amirsaffari / online-random-forests
  Online Random Forests
  ☆89Updated 9 years ago
• karpathy / Random-Forest-Matlab
  A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
  ☆195Updated 11 years ago
• lisa-lab / tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆60Updated 8 years ago