VahidooX / DeepLDALinks
An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
☆41Updated 7 years ago
Alternatives and similar repositories for DeepLDA
Users that are interested in DeepLDA are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 9 years ago
- Deep Canonical Correlation Analysis (DCCA) implementation using Theano☆24Updated 8 years ago
- 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
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Theano-based implementation of Deep Semi-NMF.☆115Updated 9 years ago
- Implementation of Deep Soft-K means☆28Updated 4 years ago
- ☆74Updated 6 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- ☆20Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 6 years ago
- ☆15Updated 7 years ago
- ☆25Updated 6 years ago
- Localized Multiple Kernel k-Means Clustering☆27Updated 6 years ago
- Deep CCA (DCCA) network☆15Updated 9 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- Matlab implementation of TCK☆12Updated 5 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Deep Multiple Kernel Learning by Span Bound☆10Updated 10 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 10 years ago
- ☆89Updated 7 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 7 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 10 months ago
- ☆16Updated 7 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago