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).
  ☆195Updated 2 weeks ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆30Updated 9 years ago
• radovicmiloskg / TMRMR
  Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
  ☆11Updated 6 years ago
• honglaklee / convDBN
  ☆40Updated 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
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 9 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 8 years ago
• vedaldi / practical-cnn-reg
  A CNN practical focusing on image to image regression
  ☆28Updated 8 years ago
• sunghbae / dcgan-matconvnet
  Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)
  ☆43Updated 7 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 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…
  ☆72Updated 13 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 11 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆147Updated 9 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• chandrasg / CDBN
  Convolutional Deep Belief Network (Honglak Lee's ICML paper)
  ☆23Updated 8 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 6 years ago
• fdavidcl / ae-review-resources
  Additional resources for an overview on autoencoders
  ☆18Updated 6 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• shashwath94 / Semisupervised-learning-with-DCGANs
  Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images wi…
  ☆12Updated 7 years ago
• nickgeoca / cwt-tensorflow
  Continuous wavelet transform (CWT) in tensorflow
  ☆55Updated 5 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆54Updated 11 years ago
• ektormak / Lyssandra
  A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.
  ☆70Updated 5 years ago
• antsfamily / ELM-LRF
  An Implementation of Local Receptive Fields Based Extreme Learning Machine (with a demo)
  ☆10Updated 7 years ago
• jimmy-ren / vLSTM
  Vectorized multimodal LSTM using Matlab and GPU
  ☆32Updated 8 years ago
• STO-OTZ / my_gcForest
  ☆34Updated 7 years ago