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 5 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:
- A pytorch package for non-negative matrix factorization.☆240Updated last year
- L1-regularized least squares with PyTorch☆68Updated 2 years ago
- Self-supervised semi-supervised nonnegative matrix factorization for data clustering☆15Updated 2 years ago
- Non-negative Matrix Factorization (NMF) Tensorflow Implementation☆37Updated 7 years ago
- Code for U-within-U-Net deep learning on hyperspectral images☆46Updated last year
- Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants☆46Updated 6 years ago
- Vertex Component Analysis in Python☆35Updated last month
- Implementation of the paper "Online dictionary learning for sparse coding" (Mairal et al).☆19Updated 7 years ago
- Data Science and Matrix Optimization course☆74Updated 4 years ago
- PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…☆20Updated 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
- Demo for Multi-Layer ISTA and Multi-Layer FISTA algorithms for convolutional neural networks, as described in J. Sulam, A. Aberdam, A. Be…☆30Updated 6 years ago
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆25Updated 3 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆11Updated 5 years ago
- Tensor Completion by Python and Numba☆24Updated 4 years ago
- A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.☆91Updated 4 months ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 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
- ☆11Updated 3 months ago
- Python Library for Signal/Image Data Analysis with Transport Methods☆47Updated 3 weeks ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- ☆14Updated 3 years ago
- Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"☆20Updated 2 years ago
- Nonnegative matrix factorization-quadratic minimum volume (NMF-QMV) based hyperspectral unmixing☆18Updated last month
- spectrai: a deep learning framework for spectral data☆68Updated 2 years ago
- ☆19Updated 2 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated 2 months ago
- Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection☆29Updated 3 years ago
- The code of Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery☆16Updated 7 years ago