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
  ☆150Updated 10 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆61Updated 14 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 5 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 3 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆150Updated 7 years ago
• rakeshvar / stacked_denoising_auto_encoder
  Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.
  ☆14Updated 10 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆33Updated 9 years ago
• glrs / StackedDAE
  Stacked Denoising AutoEncoder based on TensorFlow
  ☆23Updated 6 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆19Updated 8 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 6 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• cravisjan97 / Deep-Clustering
  A Convolutional Neural Network based model for Unsupervised Learning
  ☆33Updated 8 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 6 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 12 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago
• hechtlinger / graph_cnn
  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
  ☆49Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆107Updated 9 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 8 years ago
• jcklie / keras-autoencoder
  Collection of autoencoders written in Keras
  ☆37Updated 9 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 8 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆192Updated 7 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆153Updated 2 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆30Updated 3 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 8 years ago