SPARSE + CELP lossy signal compression codecs
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Updated
May 31, 2017 - MATLAB
SPARSE + CELP lossy signal compression codecs
Dynamic matrix type and algorithms for sparse matrices
Implementation of Sparse CNN
sparse matrix multiplication
A fast MATLAB toolbox for N-dimensional sparse arrays.
Trying all the techniques of face recognition while more emphasis on Sparse Representation
Julia array type supporting a default value, useful for storing very sparse information in a space efficient manner, the internal design uses "Dict" for storage, thanks to Tamas K. Papp @ https://github.com/tpapp
Phase diversity method for atmospheric wavefront sensing from a pair of images (in focus and out of focus).
Source code for Graded Weighted Bag of Word Model (Coling 2016)
University Project for core course Scientific Computing
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
An Exact L0-penalized Problem Solver.
Implementation of Sparse Information Filter for Fast Gaussian Process Regression Kania et al. (2021) (https://link.springer.com/chapter/10.1007/978-3-030-86523-8_32)
Developed a sparse representation classifier model that characterizes blood cell subtypes with real-time microscopic images.
Software implementation of the algorithm and experiments in the Discrete Sparse Coding paper
High performance triangle counting in large sparse graphs
API for interfacing C++ portions of Morpheus with C and Fortran.
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
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 Three Dimensional Arrays and Linear Algebra Utilities
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