Sparse Optimisation Research Code

Official Code for Paper: Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024

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.

Spurfies: Sparse Surface Reconstruction using Local Geometry Priors

This repository contains dictionary learning algorithms

Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.

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.

Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.

Sparse representation solvers for P0- and P1-problems

It’s Not the Target, It’s the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank Representations

Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.

Examples, data, and contributed code for SPORCO

[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies

Implementations from "A New Basis for Sparse PCA" paper at https://arxiv.org/abs/2007.00596

Software implementation of the algorithm and experiments in the Discrete Sparse Coding paper

Image inpainting using sparse representations (OMP and IRLS)