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:
- A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis☆21Updated 7 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 10 years ago
- ☆20Updated 6 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆149Updated 6 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- python wrapper of fast C++ LLE code☆18Updated 14 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
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 8 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- ☆18Updated 9 years ago
- Segmentation using superpixels. Uses SLIC to preprocess each image, separate foreground from background in an image using a supervised mo…☆21Updated 11 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Updated 4 years ago
- A PyTorch collection of semantic segmentation tools.☆32Updated 6 years ago
- Entropy rate superpixel segmentation source code☆69Updated 10 years ago
- A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…☆16Updated 3 years ago
- Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow☆78Updated 7 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 7 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- Co-regularized Non-negative Matrix Factorization☆18Updated 8 years ago
- A Deep Belief Network for the classification of materials in hyperspectral images.☆18Updated 9 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆30Updated 6 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆26Updated 6 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Deep Visualization Toolbox Github: https://github.com/yosinski/deep-visualization-toolbox Understanding Image Representations by Invert…☆15Updated 8 years ago
- Subspace Clustering Library☆52Updated 9 years ago