Alternatives and similar repositories for Sparse-Autoencoder

Users that are interested in Sparse-Autoencoder are comparing it to the libraries listed below

• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆147Updated 9 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆78Updated 5 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆31Updated 9 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆60Updated 14 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆19Updated 8 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• lorisbaz / Multiview-learning
  Multi-view Learning with Vector-valued RKHS - ICML 2013
  ☆17Updated 10 years ago
• rakeshvar / stacked_denoising_auto_encoder
  Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.
  ☆14Updated 9 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆47Updated 7 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆133Updated 4 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• jcklie / keras-autoencoder
  Collection of autoencoders written in Keras
  ☆37Updated 8 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• hechtlinger / graph_cnn
  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
  ☆51Updated 8 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆117Updated 9 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 4 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆46Updated 8 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 7 years ago