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 4 months 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 7 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆94Updated 6 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• canerturkmen / nmflib
  nonnegative matrix factorization and some variants in numpy
  ☆18Updated 10 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 10 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆147Updated 9 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 9 years ago
• harusametime / RUSBoost
  Classifier of imbalanced data by boosting with random under sampling
  ☆29Updated 6 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 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
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• amyxzhang / OPTICS-Automatic-Clustering
  automatic hierarchical clustering of OPTICS reachability plots implemented in Python
  ☆66Updated 9 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 8 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• parkus / emd
  Empirical Mode Decomposition
  ☆33Updated 6 years ago
• nickgeoca / cwt-tensorflow
  Continuous wavelet transform (CWT) in tensorflow
  ☆55Updated 6 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆55Updated 9 years ago
• Craigacp / FEAST
  A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
  ☆72Updated 2 years ago
• GillesVandewiele / pyShapelets
  A python library that implements different algorithms to extract shapelets from timeseries
  ☆13Updated 6 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆147Updated 5 years ago
• bm424 / scikit-cmeans
  Flexible, extensible fuzzy c-means clustering in python.
  ☆19Updated 2 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆36Updated 4 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago