Sparse Matrix Library for GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
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Updated
Jun 5, 2024 - Rust
Sparse Matrix Library for GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
MIRT: Michigan Image Reconstruction Toolbox (Julia version)
Sparse Optimisation Research Code
This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"
unsupervised learning of natural images -- à la SparseNet.
Course @ NeuroSchool PhD Program in Neuroscience
A framework to build a sparse representation of edges in images.
PyTorch implementation, with CUDA support, of the sparse coding algorithm based on the paper by Olshausen and Field (1997).
Official implementation of PointBeV: A Sparse Approach to BeV Predictions
geometry processing and shape analysis framework
Image denoising with sparse coding through K-SVD
sparsely-encoded poisson matrix factorization
Sparse representation solvers for P0- and P1-problems
Extending Sparse Dictionary Learning Methods for Adversarial Robustness
Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper
Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
Early stages of incorporating self-supervised with algorithm unrolling. Code was written as part of a master's thesis (60 ECTS) at Aalborg University, Denmark.
Convolution dictionary learning for time-series
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