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

• zhuofupan / Tensorflow-Deep-Neural-Networks
  用Tensorflow实现的深度神经网络。
  ☆142Updated 3 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
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆126Updated 3 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆343Updated 6 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆132Updated 7 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆124Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 6 years ago
• nathanhubens / Autoencoders
  Implementation of simple autoencoders networks with Keras
  ☆247Updated 5 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆37Updated 7 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆60Updated 7 years ago
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 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
  ☆44Updated 9 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• aBadCat / machineLearning
  Learning and Recording
  ☆34Updated 6 years ago
• yyxyz / CaseWesternReserveUniversityData
  ☆141Updated 8 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆135Updated 2 years ago
• zonghua94 / mnist
  mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
  ☆109Updated 8 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 8 years ago
• LiangjunFeng / Machine-Learning
  Basic algorithms about machine learnig
  ☆50Updated 5 years ago
• jadhavhninad / Sparse_autoencoder
  Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
  ☆23Updated 7 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 4 years ago
• smriti100jain / svr
  Support Vector Regression
  ☆57Updated 7 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆123Updated 6 years ago
• wrayzheng / gmm-em-clustering
  高斯混合模型（GMM 聚类）的 EM 算法实现。
  ☆204Updated 7 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆127Updated 5 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆381Updated 6 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆47Updated 7 years ago
• whyre788 / GAN-1D
  using WGAN to generate fault bearing vibration signals
  ☆51Updated 7 years ago
• Tasswon / SVM-Convolutional_Autoencoder
  A convolutional autoencoder for feature extraction, with an SVM for image classification.
  ☆10Updated 6 years ago