Alternatives and similar repositories for DeepLDA

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

• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 7 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆47Updated 9 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 7 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 5 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆118Updated 9 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆76Updated 4 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 7 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• laiguokun / SWaveNet
  ☆24Updated 5 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• msamribeiro / deep-cca
  Deep Canonical Correlation Analysis (DCCA) implementation using Theano
  ☆25Updated 8 years ago
• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆21Updated 6 years ago
• apsarath / CorrNet
  ☆51Updated 9 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 2 years ago
• Craigacp / FEAST
  A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
  ☆72Updated 2 years ago
• trungnt13 / odin-ai
  Orgainzed Digital Intelligent Network (O.D.I.N)
  ☆23Updated 2 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 5 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• raghavchalapathy / rcae
  contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection
  ☆35Updated 8 years ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 5 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 4 years ago