algo-hhu/bico

BICO is a fast streaming algorithm to compute coresets for the k-means problem on very large sets of points.

Language: C++ - Size: 5.28 MB - Last synced at: 26 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

transmuteAI/Data-Efficient-Transformers

Official implementation of "Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective"

Language: Python - Size: 545 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

hmdolatabadi/ACS

[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.

Language: Python - Size: 598 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

lucaslie/torchprune

A research library for pytorch-based neural network pruning, compression, and more.

Language: Shell - Size: 6.62 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 154 - Forks: 22

zalanborsos/bilevel_coresets

Coresets via Bilevel Optimization

Language: Jupyter Notebook - Size: 899 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 60 - Forks: 7

jackyzyb/bayesian-coresets-optimization

Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).

Language: Python - Size: 9.51 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 5

sheikhomar/coresets-bench

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

pietrobarbiero/meco

MECO: Multi-objective Evolutionary Compression

Language: Python - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

SoniSiddharth/SamplingMethods_in_DataScience

Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)

Language: Python - Size: 92.1 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

chr-peters/efficient-probit-regression

This is the accompanying code repository for the AISTATS 2022 publication p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets by Alexander Munteanu, Simon Omlor and Christian Peters.

Language: Jupyter Notebook - Size: 1.26 GB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

SoniSiddharth/GHCIDR

Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.

Language: Python - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0