Sparse Optimisation Research Code
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Updated
Jan 17, 2025 - Python
Sparse Optimisation Research Code
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
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
Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
This repository contains dictionary learning algorithms
TF-Tile: an efficient sparse representation for real-valued data
Compressed Sensing and Sparse Recovery Algorithms and more!
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
Sparse representation solvers for P0- and P1-problems
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
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
Image inpainting using sparse representations (OMP and IRLS)
Software implementation of the algorithm and experiments in the Discrete Sparse Coding paper
Source code for Graded Weighted Bag of Word Model (Coling 2016)
Implementation of Sparse CNN
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)
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