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sparse-modeling

Here are 11 public repositories matching this topic...

Santosh-Gupta / SpeedTorch

Library for faster pinned CPU <-> GPU transfer in Pytorch

Updated Feb 21, 2020
Python

hacarus / spm-image

Sparse modeling and Compressive sensing in Python

python machine-learning-library sparse-modeling

Updated Oct 12, 2021
Python

MaestroGraph / sparse-hyper

Code for the paper "Learning sparse transformations through backpropagation"

machine-learning pytorch sparse-matrix sparse-modeling

Updated Dec 14, 2019
Python

tsurumeso / pysparcl

Python implementation of the sparse clustering methods

clustering sparse-modeling sparcl

Updated Oct 20, 2022
Python

mana-ysh / symmetry-learning-kgc

Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"

knowledge-graph-completion embedding-models sparse-modeling knowledge-base-completion knowledge-graph-embeddings

Updated Feb 25, 2018
Python

BystrickyK / SINDy

Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.

machine-learning model fft numerical-methods system-identification sparse-regression equations spectral-methods sparse-modeling coefficients sindy numerical-differentiation dynamical spectral-difference simulation-data model-discovery candidate-functions spectral-filtering

Updated Oct 26, 2021
Python

optyang / STELA

STELA algorithm for sparsity regularized linear regression (LASSO)

compressed-sensing linear-regression lasso sparse-regression sparse-modeling mathematical-optimization

Updated Feb 18, 2020
Python

Aaimek / pySPOlp-over-lq

Interactive Python implementation of https://arxiv.org/pdf/2001.08496

sparse-modeling

Updated Apr 19, 2026
Python

astropenguin / priism-benchmark

Python 3 environment for benchmarking PRIISM

python benchmark astronomy radio-astronomy casa sparse-modeling priism

Updated Mar 10, 2022
Python

masoud777-bit / Sparse-Bayesian-factor-analysis

PyTorch implementation of sparse Bayesian factor analysis: closed-form mean-field variational objective, ARD factor selection, graph-Laplacian priors for spatial smoothness, and identifiability-aware evaluation with calibration diagnostics (CRPS, PIT). Synthetic benchmarks.

machine-learning pytorch calibration dimensionality-reduction bayesian-inference unsupervised-learning uncertainty-quantification factor-analysis variational-inference bayesian-statistics latent-variable-models spatial-statistics sparse-modeling automatic-relevance-determination graph-laplacian probabilistic-machine-learning bayesian-factor-analysis

Updated Oct 3, 2026
Python

canay / sparse_hypergraph_interactions

Replication code and hash-traced artifacts for sparse pair and triple interaction support selection.

python machine-learning reproducible-research stability-selection hypergraph sparse-modeling feature-interactions sparse-hypergraph-interactions support-selection

Updated Oct 7, 2026
Python

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