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
A MATLAB library for sparse representation problems
Sparse Optimisation Research Code
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Cognitive Computing with Associative Memory
Functional models and algorithms for sparse signal processing
This repository contains dictionary learning algorithms
Compressed Sensing and Sparse Recovery Algorithms and more!
Various camera models (Full, Weak and Orthographic) are used to convert 3D real world points into 2D image pixel coordinates by simulating a 'virtual camera'
TF-Tile: an efficient sparse representation for real-valued data
FEATure HashER
Sparse representation solvers for P0- and P1-problems
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.
Image inpainting using sparse representations (OMP and IRLS)
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
A Python library for sGMRFmix model for anomaly detection in time series
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
MATLAB implementation of Orthogonal Matching Pursuit to find the sparsest solution to a linear system of equations, via combinatorial search.
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