58 skills found · Page 1 of 2
decile-team / CordsReduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
PatrickZH / DeepCoreCode for coreset selection methods
PatrickZH / Awesome Coreset SelectionAwesome coreset/core-set/subset/sample selection works.
lucaslie / TorchpruneA research library for pytorch-based neural network pruning, compression, and more.
trevorcampbell / Bayesian CoresetsAutomated Scalable Bayesian Inference
zalanborsos / Bilevel CoresetsCoresets via Bilevel Optimization
gszfwsb / Awesome Dataset ReductionA curated list of awesome papers on dataset reduction, including dataset distillation (dataset condensation) and dataset pruning (coreset selection).
rpinsler / Active Bayesian CoresetsNo description available
HuangOwen / QAT ACS[TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
zalanborsos / CoresetsCoresets
gchq / CoreaxA library for coreset algorithms, written in JAX for fast execution and GPU support.
snap-stanford / Crust[NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
dnbaker / MinicoreFast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.
sungnyun / Openssl Simcore(CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
yunbeizhang / DPCore[ICML 2025] DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
jaehong31 / OCSOnline Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022
svdesai / Coreset AlA greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)
facebookresearch / RLCompOptLearning Compiler Pass Orders using Coreset and Normalized Value Prediction. (ICML 2023)
RuilinTong / CSReL Coreset CLImplementation for paper 'Coreset Selection via Reducible Loss in Continual Learning'
for0nething / RECONCoresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning
