jejjohnson / manifold_learningLinks
A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning
☆12Updated 7 years ago
Alternatives and similar repositories for manifold_learning
Users that are interested in manifold_learning are comparing it to the libraries listed below
Sorting:
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 11 years ago
- ☆20Updated 7 years ago
- A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis☆21Updated 7 years ago
- A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…☆16Updated 3 years ago
- This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an …☆15Updated 6 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Updated 4 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 7 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆60Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 8 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- Semi-Supervised Sparse Representation Based Classification for Face Recognition☆13Updated 7 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆26Updated 7 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 6 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- ☆18Updated 9 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 11 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Markov Random Field☆45Updated 12 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆37Updated 4 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 7 years ago