Alternatives and similar repositories for principal-components-analysis

Users that are interested in principal-components-analysis are comparing it to the libraries listed below

• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• conda-forge / python-spams-feedstock
  A conda-smithy repository for python-spams.
  ☆23Updated 7 months ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 7 years ago
• wangzheallen / STL-VQA
  The good practice in the VQA system such as pos-tag attention, structed triplet learning and triplet attention is very general and can be…
  ☆19Updated 7 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• iwyoo / tf_ConvWTA
  Tensorflow implementation of convolutional Winner-Take-All Autoencdoer
  ☆29Updated 7 years ago
• wangg12 / vi_vae_gmm
  Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan
  ☆16Updated 8 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆22Updated 7 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• erogol / seg-torch
  Segmentation with deep learning
  ☆37Updated 8 years ago
• titu1994 / Residual-of-Residual-Networks
  Residual Network of Residual Networks in Keras
  ☆23Updated 8 years ago
• keunwoochoi / keras_cropping_layer
  Keras cropping layer implementation
  ☆13Updated 8 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 6 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• meereeum / k-meanz
  k-means clustering of image pixels
  ☆31Updated 3 years ago
• taoyizhi68 / keras-Spatial-Transformer-Layer
  Using Spatial Transformer Layer with keras (theano backend).
  ☆12Updated 9 years ago
• zxie / vae
  Variational autoencoder in Theano
  ☆12Updated 7 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 8 years ago
• gradientzoo / python-gradientzoo
  Python integration for Gradientzoo - version and share your trained neural network model weights
  ☆12Updated 9 years ago
• yidarvin / DREAM_DM_starter_code
  Some starter code for training/testing some basic CNN models given our data.
  ☆10Updated 8 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• cooijmanstim / sparse-coding-theano
  Theano-based implementation of the efficient sparse-coding algorithms by Honglak Lee et al. (2006)
  ☆12Updated 9 years ago