GitHub topics: sparse-learning
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.
Language: Python - Size: 66.4 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0
pyxu-org/pyxu
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Language: Python - Size: 286 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 139 - Forks: 16
dsb-ifi/SPoT
SPoT: Subpixel Placement of Tokens in Vision Transformers
Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 1
abess-team/SLIDE
[JASA] Reconstruct Ising Model with Global Optimality via SLIDE
Language: R - Size: 809 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
nlpodyssey/goslide
SLIDE (Sub-LInear Deep learning Engine) written in Go
Language: Go - Size: 105 KB - Last synced at: 8 months ago - Pushed at: over 5 years ago - Stars: 44 - Forks: 10
mbs0221-mlsys/Multitask-Learning
Awesome Multitask Learning Resources
Size: 29.3 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 654 - Forks: 144
switchablenorms/Sparse_SwitchNorm
Sparse Switchable Normalization with sparse activation function SparestMax
Language: Python - Size: 273 KB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 64 - Forks: 8
Karlmyh/ULDP-SL
[ICML24] Better Locally Private Sparse Estimation Given Multiple Samples Per User
Language: Jupyter Notebook - Size: 637 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
coursekevin/variationalsparsebayes
A Pytorch library for stochastic variational inference with sparsity inducing priors.
Language: Python - Size: 375 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0
MILO-GRP/RFFS-EXL21
[IJCAI 2019] "Robust Flexible Feature Selection via Exclusive L21 Regularization", Di Ming, Chris Ding
Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
MILO-GRP/PLASSO-L12
[AAAI 2019] "A Probabilistic Derivation of LASSO and L12-Norm Feature Selections", Di Ming, Chris Ding, Feiping Nie
Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0