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 for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Updated 4 years ago
- A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…☆16Updated 3 years ago
- ☆20Updated 7 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 8 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- A PyTorch collection of semantic segmentation tools.☆32Updated 6 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 8 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 Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 6 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 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
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 11 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- Entropy rate superpixel segmentation source code☆69Updated 10 years ago
- Code for the paper "Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization"☆13Updated 7 years ago
- A Deep Belief Network for the classification of materials in hyperspectral images.☆18Updated 10 years ago
- Hamming Distance Metric Learning with Non-linear Projection☆73Updated 12 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆30Updated 6 years ago
- Label Distribution Learning Forest☆30Updated 8 years ago
- Co-regularized Non-negative Matrix Factorization☆18Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆75Updated 14 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow☆77Updated 7 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago