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sparse-learning

Here are 17 public repositories matching this topic...

mbs0221 / Multitask-Learning

Awesome Multitask Learning Resources

machine-learning deep-learning transfer-learning convex-optimization domain-adaptation multi-task-learning meta-learning federated-learning few-shot-learning sparse-learning

Updated Apr 13, 2021

pyxu-org / pyxu

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

Updated Apr 2, 2025
Python

switchablenorms / Sparse_SwitchNorm

Sparse Switchable Normalization with sparse activation function SparestMax

deep-learning convolutional-neural-networks normalization sparse-learning

Updated Aug 12, 2019
Python

nlpodyssey / goslide

SLIDE (Sub-LInear Deep learning Engine) written in Go

machine-learning deep-learning lsh artificial-intelligence sparse-learning

Updated Apr 19, 2020
Go

mohsengh / SCFS

Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering

machine-learning data-mining bioinformatics clustering feature-selection dimensionality-reduction representation-learning unsupervised-learning subspace-clustering sparse-learning

Updated Jun 10, 2026
Python

dsb-ifi / SPoT

SPoT: Subpixel Placement of Tokens in Vision Transformers

interpolation pytorch transformer sparse-learning vision-transformer iccv2025

Updated Nov 25, 2025
Jupyter Notebook

mohsengh / DLUFS

Low-rank Dictionary Learning for Unsupervised Feature Selection

machine-learning data-mining clustering high-dimensional-data feature-selection artificial-intelligence dimensionality-reduction pattern-recognition feature-engineering unsupervised-learning dictionary-learning spectral-analysis low-rank-representation sparse-learning unsupervised-feature-selection

Updated Jun 10, 2026
Python

coursekevin / variationalsparsebayes

A Pytorch library for stochastic variational inference with sparsity inducing priors.

pytorch bayesian-inference sparse-learning

Updated Feb 11, 2024
Python

MILO-GRP / PLASSO-L12

[AAAI 2019] "A Probabilistic Derivation of LASSO and L12-Norm Feature Selections", Di Ming, Chris Ding, Feiping Nie

feature-selection exclusive-lasso sparse-learning probabilistic-machine-learning l12

Updated Oct 7, 2023

Novartis / orthoMTL

Multi-task learning with orthogonality / disjoint-support constraints (R package)

machine-learning r feature-selection rstats survival-analysis r-package structured-learning multi-task-learning sparse-learning

Updated Oct 19, 2026
R

smartin1296 / tsu-sparse-polynomials

This repo is an educational POC showing how thermodynamic sampling units can produce sparse polynomial approximations. It’s intended for demonstration, not production.

machine-learning tsu sparse-learning probabilistic-computing thermodynamic-computing

Updated Oct 31, 2025
Python

cpu-native-lm-train

shyringo / cpu-native-lm-train

QSELM: 34.1M CPU LM, 215,771 training tok/s (8,529x measured Qwen training); sealed QA 90.6% vs Qwen3.5-0.8B 45.8%, memory 69.6% vs Qwen3-0.6B-FC 3.2%. No GPU. | QSELM：3408.7万参数CPU模型，训练21.6万token/s（Qwen训练实测的8,529倍）；封存问答90.6%对Qwen3.5-0.8B 45.8%，跨轮记忆69.6%对Qwen3-0.6B-FC 3.2%；无需GPU。

nlp training machine-learning cpu inference text-generation language-model sparse-learning tool-use cpu-training llm function-calling local-ai cpu-native agent-memory qselm

Updated Sep 9, 2026
Python

abess-team / SLIDE

[JASA] Reconstruct Ising Model with Global Optimality via SLIDE

ising-model spin coupling subset-selection sparse-learning binary-random-vector pseudo-likelihood

Updated Dec 9, 2025
R

MILO-GRP / RFFS-EXL21

[IJCAI 2019] "Robust Flexible Feature Selection via Exclusive L21 Regularization", Di Ming, Chris Ding

feature-selection multi-task-learning exclusive-lasso sparse-learning group-sparsity l21

Updated Oct 7, 2023

Karlmyh / ULDP-SL

[ICML24] Better Locally Private Sparse Estimation Given Multiple Samples Per User

differential-privacy sparse-learning user-level-ldp

Updated May 22, 2024
Jupyter Notebook

zly555 / BSPwSVMs

R package for Sparse Learning with weighted SVMs

support-vector-machines binary-classification sparse-learning probability-estimation

Updated Mar 23, 2026
R

0717CCC / SG_XDEAT

SG-XDEAT: Sparsity-Guided Cross-Dimensional and Cross-Encoding Attention with Target-Aware Conditioning in Tabular Learning

encoding self-attention sparse-learning tabular-learning

Updated Apr 10, 2026
Python

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