neel-dey / robust-nmfLinks
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
☆65Updated 6 years ago
Alternatives and similar repositories for robust-nmf
Users that are interested in robust-nmf are comparing it to the libraries listed below
Sorting:
- Self-supervised semi-supervised nonnegative matrix factorization for data clustering☆16Updated 2 years ago
- A pytorch package for non-negative matrix factorization.☆241Updated last year
- PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…☆20Updated last year
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Vertex Component Analysis in Python☆35Updated 2 months ago
- Code for U-within-U-Net deep learning on hyperspectral images☆46Updated last year
- This demo reproduces the results reported in the paper "Nonlinear unmixing of hyperspectral data with vector-valued kernel functions," R…☆14Updated 8 years ago
- ☆11Updated 5 months ago
- Implementation of the paper "Online dictionary learning for sparse coding" (Mairal et al).☆19Updated 7 years ago
- Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants☆47Updated 6 years ago
- Non-negative Matrix Factorization (NMF) Tensorflow Implementation☆37Updated 7 years ago
- ☆19Updated 2 years ago
- Nonnegative matrix factorization-quadratic minimum volume (NMF-QMV) based hyperspectral unmixing☆17Updated 2 months ago
- A complete toolbox for spectral unmixing with spectral variability☆53Updated 5 months ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- ☆17Updated 12 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"☆20Updated 2 years ago
- Data Science and Matrix Optimization course☆74Updated 5 years ago
- X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,”…☆48Updated 6 years ago
- spectrai: a deep learning framework for spectral data☆69Updated 2 years ago
- A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.☆92Updated 6 months ago
- GatorSense Hyperspectral Image Analysis Toolkit☆31Updated 6 years ago
- [TFS 2020] Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization☆34Updated 3 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- The code of Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery☆16Updated 7 years ago
- Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm☆106Updated 4 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
- Our final class project. Hyperspectral image classification.☆12Updated 10 years ago
- UnDIP: Hyperspectral Unmixing Using Deep Image Prior☆41Updated 3 years ago