Alternatives and similar repositories for kPCA-denoising-python:

Users that are interested in kPCA-denoising-python are comparing it to the libraries listed below

• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆196Updated last month
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆35Updated 4 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 6 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 9 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆30Updated 9 years ago
• honglaklee / convDBN
  ☆40Updated 8 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 4 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago
• vedaldi / practical-cnn-reg
  A CNN practical focusing on image to image regression
  ☆28Updated 9 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• sunghbae / dcgan-matconvnet
  Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)
  ☆43Updated 7 years ago
• jimmy-ren / vLSTM
  Vectorized multimodal LSTM using Matlab and GPU
  ☆32Updated 8 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆147Updated 9 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 10 years ago
• JianboTang / RNN_MATLAB
  this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…
  ☆79Updated 8 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
• diehl / Incremental-SVM-Learning-in-MATLAB
  This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…
  ☆73Updated 13 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 7 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆93Updated 3 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆54Updated 11 years ago
• scatnet / scatnet
  Scattering Network for Matlab
  ☆91Updated 6 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• jaderberg / python-matlab-bridge
  A simple interface to allow Python to call MATLAB functions.
  ☆95Updated 8 years ago
• chandrasg / CDBN
  Convolutional Deep Belief Network (Honglak Lee's ICML paper)
  ☆23Updated 8 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆154Updated 2 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆146Updated 5 years ago