Package: torchopt 0.1.4

Gilberto Camara

torchopt: Advanced Optimizers for Torch

Optimizers for 'torch' deep learning library. These functions include recent results published in the literature and are not part of the optimizers offered in 'torch'. Prospective users should test these optimizers with their data, since performance depends on the specific problem being solved. The packages includes the following optimizers: (a) 'adabelief' by Zhuang et al (2020), <arxiv:2010.07468>; (b) 'adabound' by Luo et al.(2019), <arxiv:1902.09843>; (c) 'adahessian' by Yao et al.(2021) <arxiv:2006.00719>; (d) 'adamw' by Loshchilov & Hutter (2019), <arxiv:1711.05101>; (e) 'madgrad' by Defazio and Jelassi (2021), <arxiv:2101.11075>; (f) 'nadam' by Dozat (2019), <https://openreview.net/pdf/OM0jvwB8jIp57ZJjtNEZ.pdf>; (g) 'qhadam' by Ma and Yarats(2019), <arxiv:1810.06801>; (h) 'radam' by Liu et al. (2019), <arxiv:1908.03265>; (i) 'swats' by Shekar and Sochee (2018), <arxiv:1712.07628>; (j) 'yogi' by Zaheer et al.(2019), <https://papers.nips.cc/paper/8186-adaptive-methods-for-nonconvex-optimization>.

Authors:Gilberto Camara [aut, cre], Rolf Simoes [aut], Daniel Falbel [aut], Felipe Souza [aut]

torchopt_0.1.4.tar.gz
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torchopt.pdf |torchopt.html
torchopt/json (API)
NEWS

# Install 'torchopt' in R:
install.packages('torchopt', repos = c('https://e-sensing.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/e-sensing/torchopt/issues

On CRAN:

deep-learningnumerical-optimization

4.59 score 26 stars 15 scripts 190 downloads 11 exports 18 dependencies

Last updated 1 years agofrom:399f27b52a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:optim_adabeliefoptim_adaboundoptim_adahessianoptim_adamwoptim_madgradoptim_nadamoptim_qhadamoptim_radamoptim_swatsoptim_yogitest_optim

Dependencies:bitbit64callrclicorodescellipsisgluejsonlitemagrittrprocessxpsR6Rcpprlangsafetensorstorchwithr