Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)
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Updated
Jun 26, 2024 - Python
Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)
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.
geometry processing and shape analysis framework
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
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
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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