Over9000 optimizer

Last update: Nov 27, 2022

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Overview

Optimizers and tests

Every result is avg of 20 runs.

Dataset	LR Schedule	Imagenette size 128, 5 epoch	Imagewoof size 128, 5 epoch
Adam - baseline	OneCycle	0.8493	0.6125
RangerLars (RAdam + LARS + Lookahead)	Flat and anneal	0.8732	0.6523
Ralamb (RAdam + LARS)	Flat and anneal	0.8675	0.6367
Ranger (RAdam + Lookahead)	Flat and anneal	0.8594	0.5946
Novograd	Flat and anneal	0.8711	0.6126
Radam	Flat and anneal	0.8444	0.537
Lookahead	OneCycle	0.8578	0.6106
Lamb	OneCycle	0.8400	0.5597
DiffGrad	OneCycle	0.8527	0.5912
AdaMod	OneCycle	0.8473	0.6132

Owner

Mikhail Grankin

GitHub Repository

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47 Dec 04, 2022

Binary Stochastic Neurons in PyTorch

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54 Nov 21, 2022

Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

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31 Dec 21, 2022

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