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:
- Adversarial Non-linear Independent Component Analysis☆50Updated 8 years ago
- ☆51Updated 10 years ago
- ☆74Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 5 years ago
- f-divergence based t-SNE☆16Updated 3 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆75Updated 4 years ago
- ☆89Updated 7 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Cost-Sensitive Support Vector Machines☆33Updated 9 years ago
- Active learning for deep learning☆19Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 9 years ago
- Theano-based implementation of Deep Semi-NMF.☆121Updated 10 years ago
- Code for the results of the Paper:☆21Updated 7 years ago
- Deep variational inference in tensorflow☆57Updated 7 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
- Convolutional Variational Autoencoder☆34Updated 6 years ago
- VAEs on Sparse Data☆12Updated 8 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated last year
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- ☆16Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- Variational Recurrent Auto Encoder☆15Updated 9 years ago
- Miltiplicative LSTM for Keras 2.0+☆42Updated 8 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- ☆34Updated 8 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Updated 9 years ago