Alternatives and similar repositories for sparseFiltering

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

• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆189Updated 10 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago
• gynnash / AutoEncoder
  Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder
  ☆65Updated 10 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• zellyn / deeplearning-class-2011
  Code for Deep Learning class at Google
  ☆73Updated 13 years ago
• jaberg / DeepLearningBenchmarks
  ☆73Updated 13 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 11 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 10 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆60Updated 14 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 10 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• deeplearningparis / dl-rnn
  Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
  ☆55Updated 10 years ago
• yaolubrain / ULNNO
  Unsupervised Learning on Neural Network Outputs
  ☆73Updated 8 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆56Updated 11 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• qiuwch / DeepLearning
  Deep learning code by Hinton
  ☆93Updated 13 years ago
• apaszke / kaggle-grasp-and-lift
  Code for Kaggle EEG Detection competition
  ☆70Updated 9 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 8 years ago
• dnlcrl / deep-residual-networks-pyfunt
  Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 …
  ☆52Updated 7 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 5 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 7 years ago
• benanne / kaggle-whales
  code for the Whale Detection Challenge competition on Kaggle
  ☆39Updated 12 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• ragavvenkatesan / yann
  This toolbox is support material for the book on CNN (http://www.convolution.network).
  ☆41Updated 7 years ago
• mpezeshki / Recurrent-Neural-Networks
  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
  ☆91Updated 10 years ago
• AgnezIO / agnez
  Analytics for Deep Learning projects.
  ☆49Updated 9 years ago
• sdemyanov / ConvNet
  Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial T…
  ☆238Updated 8 years ago