cravisjan97 / Deep-Clustering
A Convolutional Neural Network based model for Unsupervised Learning
☆33Updated 7 years ago
Alternatives and similar repositories for Deep-Clustering:
Users that are interested in Deep-Clustering are comparing it to the libraries listed below
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 7 months ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 7 years ago
- ☆89Updated 6 years ago
- Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow☆52Updated 3 years ago
- Deep Embedding Clustering in Keras☆130Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras☆36Updated last year
- Implementation of Deep Soft-K means☆28Updated 3 years ago
- Residual Network of Residual Networks in Keras☆23Updated 7 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
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆55Updated 5 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 7 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 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
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano☆32Updated 7 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆20Updated 8 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆34Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆17Updated 6 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago