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)
-
Updated
Sep 16, 2021 - Python
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)
Implementation of Sparse CNN
Source code for Graded Weighted Bag of Word Model (Coling 2016)
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
Examples, data, and contributed code for SPORCO
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
Sparse representation solvers for P0- and P1-problems
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
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!
This repository contains dictionary learning algorithms
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.
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Sparse Optimisation Research Code
Add a description, image, and links to the sparse-representations topic page so that developers can more easily learn about it.
To associate your repository with the sparse-representations topic, visit your repo's landing page and select "manage topics."