3 results found Sort:

jmschrei
apricot jmschrei
48
500
mit
9
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readth...
python data-science submodularity machine-learning submodular-optimization
Created 2018-08-12
172 commits to master branch, last one 3 years ago
decile-team
submodlib decile-team
36
90
mit
8
Summarize Massive Datasets using Submodular Optimization
optimizers submodular greedy-algorithms data-summarization submodular-functions submodular-optimization combinatorial-optimization submodular-information-measures
Created 2020-10-20
220 commits to master branch, last one 3 months ago
malllabiisc
DiPS malllabiisc
16
70
apache-2.0
9
NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
paper diversity naacl2019 diverse-decoding data-augmentation paraphrase-generation submodular-optimization natural-language-generation
Created 2019-03-31
22 commits to master branch, last one 9 months ago