yfhanhust / MiniBatchSpectralClusteringLinks
☆13Updated 8 years ago
Alternatives and similar repositories for MiniBatchSpectralClustering
Users that are interested in MiniBatchSpectralClustering are comparing it to the libraries listed below
Sorting:
- Manifold Alignment code for Matlab☆10Updated 9 years ago
- Theano-based implementation of Deep Semi-NMF.☆119Updated 9 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- VCCA Pytorch Implementation on MNIST dataset☆16Updated 7 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Updated version of DCN☆88Updated 3 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 8 years ago
- Subspace Clustering Library☆52Updated 9 years ago
- ☆197Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- ☆40Updated 6 years ago
- ☆16Updated 12 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Integrative orthogonal non-negative matrix factorization☆32Updated 6 years ago
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆33Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Deep network that performs spectral clustering☆327Updated 2 years ago
- ☆16Updated 9 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- python code for kernel methods☆41Updated 6 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 11 years ago
- A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599☆66Updated 5 years ago