cravisjan97 / Deep-ClusteringLinks
A Convolutional Neural Network based model for Unsupervised Learning
☆33Updated 8 years ago
Alternatives and similar repositories for Deep-Clustering
Users that are interested in Deep-Clustering are comparing it to the libraries listed below
Sorting:
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆59Updated 6 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆26Updated 7 years ago
- ☆89Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Label Distribution Learning Forest☆30Updated 8 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 7 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 6 years ago
- Implementation of Deep Soft-K means☆29Updated 4 years ago
- Generic implementation for clustering with deep learning : representation learning (DNN) + clustering☆295Updated 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 12 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 …☆52Updated 8 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- Code examples for training AlexNet using Keras and Theano☆107Updated 8 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 8 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- Deep Neural Network Ensembles for Extreme Classification☆41Updated 6 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras☆85Updated 8 years ago
- ☆61Updated 8 years ago
- Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder☆65Updated 11 years ago
- CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras☆36Updated 2 years ago
- Tensorflow implementation of the Kohonen Self Organizing Map☆58Updated 6 years ago
- Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder☆48Updated 8 years ago
- Hamming Distance Metric Learning with Non-linear Projection☆73Updated 12 years ago
- Implementation of Google's Inception + ResNet v2 architecture in Keras☆32Updated 9 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆36Updated 8 years ago