NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
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Updated
Feb 24, 2023 - MATLAB
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Sparse Optimisation Research Code
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A MATLAB library for sparse representation problems
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Functional models and algorithms for sparse signal processing
Cognitive Computing with Associative Memory
Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by Prithivi Da, For PRs and Collaboration checkout the readme.
This repository contains dictionary learning algorithms
On-the-fly computation of IR basis functions
Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation
Dynamic matrix type and algorithms for sparse matrices
TF-Tile: an efficient sparse representation for real-valued data
Compressed Sensing and Sparse Recovery Algorithms and more!
This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.
Sparse representation solvers for P0- and P1-problems
Topics in Signal Processing
Hybrid function sparse representation (HFSR) for super resolution
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
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