Alternatives and similar repositories for tensorflow_stacked_denoising_autoencoder

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

• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆336Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆77Updated 5 years ago
• zhuofupan / Tensorflow-Deep-Neural-Networks
  用Tensorflow实现的深度神经网络。
  ☆140Updated 2 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆125Updated 2 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆101Updated 5 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• nathanhubens / Autoencoders
  Implementation of simple autoencoders networks with Keras
  ☆241Updated 4 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆123Updated 5 years ago
• arashsaber / Deep-Convolutional-AutoEncoder
  This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
  ☆60Updated 8 years ago
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆131Updated last year
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• matrachma / Deep-Belief-Network-for-Regression
  DBN for Regression Problem using Theano, NumPy, and Scikit-learn
  ☆24Updated 8 years ago
• zonghua94 / mnist
  mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
  ☆108Updated 8 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆47Updated 6 years ago
• ngailapdi / autoencoder
  Implementation of a convolutional auto-encoder in PyTorch
  ☆20Updated 6 years ago
• smriti100jain / svr
  Support Vector Regression
  ☆56Updated 6 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆121Updated 6 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆101Updated 6 years ago
• zheng-yuwei / Stacked_Autoencoder
  用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调
  ☆42Updated 8 years ago
• UltrasonicZ / CNN_LeNet-5_onedimension
  about how to use CNN with one dimensional signal
  ☆29Updated 6 years ago
• fanfuhan / AutoEncoder_sample
  自动编码器及降噪自动编码器
  ☆15Updated 6 years ago
• jadhavhninad / Sparse_autoencoder
  Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
  ☆23Updated 6 years ago
• aBadCat / machineLearning
  Learning and Recording
  ☆34Updated 5 years ago
• douglasdoudou / dbn_prediction
  from https://github.com/fuzimaoxinan/Tensorflow-Deep-Neural-Networks
  ☆7Updated 7 years ago
• chickenbestlover / ELM-pytorch
  Extreme Learning Machine implemented in Pytorch
  ☆103Updated 7 years ago