dimkastan / PyTorch-Spectral-clusteringLinks
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
☆163Updated 7 years ago
Alternatives and similar repositories for PyTorch-Spectral-clustering
Users that are interested in PyTorch-Spectral-clustering are comparing it to the libraries listed below
Sorting:
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 6 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)☆38Updated 4 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- ☆200Updated 8 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- An adversarial autoencoder implementation in pytorch☆84Updated 6 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆151Updated 7 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"☆293Updated 5 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆25Updated 7 years ago
- ☆58Updated 7 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆291Updated 7 years ago
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.☆140Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- A machine learning library for PyTorch☆93Updated 2 years ago
- Deep network that performs spectral clustering☆326Updated 2 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago