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

Coresets via Bilevel Optimization

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

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

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.

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

Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)

MECO: Multi-objective Evolutionary Compression

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

Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.

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