Implementation of Sparse CNN
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Updated
Dec 8, 2022 - Python
Implementation of Sparse CNN
Source code for Graded Weighted Bag of Word Model (Coling 2016)
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
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)
Software implementation of the algorithm and experiments in the Discrete Sparse Coding paper
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
Implementations from "A New Basis for Sparse PCA" paper at https://arxiv.org/abs/2007.00596
Examples, data, and contributed code for SPORCO
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
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.
Sparse representation solvers for P0- and P1-problems
Image inpainting using sparse representations (OMP and IRLS)
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
TF-Tile: an efficient sparse representation for real-valued data
This repository contains dictionary learning algorithms
Compressed Sensing and Sparse Recovery Algorithms and more!
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Sparse Optimisation Research Code
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