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
Functional models and algorithms for sparse signal processing
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
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.
On-the-fly computation of IR basis functions
This repository contains dictionary learning algorithms
Dynamic matrix type and algorithms for sparse matrices
Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation
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.
Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
Topics in Signal Processing
TF-Tile: an efficient sparse representation for real-valued data
Compressed Sensing and Sparse Recovery Algorithms and more!
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
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