Alternatives and similar repositories for pca

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

• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 8 years ago
• chandarb / Python-Regression-Tree-Forest
  Python implementation of CART regression tree and random forests
  ☆47Updated 10 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• QuantumLiu / matDL
  A lightweight MATLAB deeplearning toolbox,based on gpuArray.
  ☆53Updated 8 years ago
• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆191Updated 10 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• siddheshk / Faster-Kmeans
  Code for a faster K-means clustering heuristic
  ☆122Updated 8 years ago
• joncox123 / Cortexsys
  Matlab GPU Accelerated Deep Learning Toolbox
  ☆70Updated 9 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 9 years ago
• karpathy / Random-Forest-Matlab
  A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
  ☆197Updated 11 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• zellyn / deeplearning-class-2011
  Code for Deep Learning class at Google
  ☆73Updated 14 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆145Updated 6 years ago
• stober / gmm
  Gaussian Mixture Models in Python
  ☆157Updated 13 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 3 years ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 9 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆47Updated 10 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆61Updated 14 years ago
• kevin-keraudren / randomforest-python
  ☆58Updated 9 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• Chunpai / LASSO
  solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent
  ☆21Updated 10 years ago
• duducheng / clustering_tutorial
  A Tutorial of KMeans(++), GMM and Spectral Clustering
  ☆25Updated 8 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆33Updated 9 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 5 years ago