Deep Clustering: methods and implements Paper Conference Code Deep Embedded Clustering(DEC) ICML 2016 Caffe TensorFlow Imporved Deep Embedding Clustering(IDEC) IJCAI 2017 Keras,Pytorch Deep Clustering Network(DCN) Arxiv 2016 Theano Deep Embedding Network for Clustering(DEN) ICPR 2014 Deep Clustering via joint convolutional autoencoder embedding and relative entropy minimization(DEPICT) ICCV 2017 Theano Discriminatively Boosted Clustering(DBC) Arxiv 2017 Joint Unsupervised Learning of Deep Representations and Image Clustering(JULE) CVPR 2016 Torch Variational Deep Embedding(VADE) IJCAI 2017 Keras Clustering-driven Deep Embedding with Pairwise Constraints(CPAC) Arxiv 2018 Pytorch Deep Continuous Clustering(DCC) Arxiv 2018 Pytorch Deep Subspace Clustering Networks(DSC-Nets) NIPS 2017 TensorFlow Semi-Supervised Representation Learning based on Probabilistic Labeling(SSRL-PL) Arxiv 2016 Subspace clustering using a low-rank constrained autoencoder(LRAE) Information Science 2018 ClusterNet : Semi-Supervised Clustering using Neural Networks(ClusterNet) Arxiv 2018 Deep Clustering with Convolutional Autoencoders(DCEC) ICONIP 2018 Keras Graph Clustering with Dynamic Embedding(GRACE) Arxiv 2017 Deep Unsupervised Clustering Using Mixture of Autoencoders(MIXAE) Arxiv 2017 Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering NIPS 2017 Auto-encoder Based Data Clustering(ABDC) CIARP 2013 Pytrorch SpectralNet: Spectral Clustering Using Deep Neural Networks ICLR 2018 TensorFlow Deep Unsupervised Clustering With Gaussian Mixture Variational AutoEncoders(GMVAE) ICLR 2017 Lua Learning Deep Representations for Graph Clustering AAAI 2014 python Towards Unsupervised Classification with Deep Generative Models(HCDVAE) ICLR 2018 TIPS If you find this repository useful to your research or work, it is really appreciate to star this repository.