Alternatives and similar repositories for stacked_denoising_auto_encoder

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

• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• deeplearningparis / dl-rnn
  Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
  ☆55Updated 10 years ago
• tengerye / orthogonal-denoising-autoencoder
  Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'
  ☆16Updated 11 months ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated last month
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆39Updated 9 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• svakulenk0 / tweet2vec_clustering
  ☆26Updated 7 years ago
• RyotaKatoh / chainer-Variational-Recurrent-Autoencoder
  ☆19Updated 9 years ago
• mrkulk / SparseAutoEncoder
  SparseAutoEncoder - Unsupervised Learning
  ☆14Updated 13 years ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago
• AaronYALai / Machine_Learning_and_Having_It_Deep_and_Structured
  (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.
  ☆10Updated 8 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• jiweil / Sequence-Models-on-Stanford-Treebank
  ☆24Updated 9 years ago
• phdowling / mSDA
  Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…
  ☆27Updated 5 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• ipod825 / keraflow
  ☆29Updated 7 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
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• turian / textSNE
  2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point
  ☆110Updated 9 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• bwallace / curious_snake
  an active learning framework in python
  ☆44Updated 9 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 10 years ago
• germank / compatibility-naacl2015
  Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…
  ☆11Updated 10 years ago