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Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

License: Apache License 2.0

Python 12.02% Jupyter Notebook 87.98%

best-deep-learning-optimizers's Introduction

Best-Deep-Learning-Optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

Current top performers = DeepMemory and Ranger. this is only on initial testing.


12/27 - added DiffGrad, and unofficial version 1 support (coded from the paper).
12/28 - added Diff_RGrad = diffGrad + Rectified Adam to start off....seems to work quite well.

Medium article (summary and FastAI example usage): https://medium.com/@lessw/meet-diffgrad-new-deep-learning-optimizer-that-solves-adams-overshoot-issue-ec63e28e01b2

Official diffGrad paper: https://arxiv.org/abs/1909.11015v2

12/31 - AdaMod and DiffMod added. Initial SLS files added (but more work needed).

In Progress:

A - Parabolic Approximation Line Search: https://arxiv.org/abs/1903.11991v2

B - Stochastic Line Search (SLS): pending (needs param group support)

c - AvaGrad

General papers of relevance:

Does Adam stick close to the optimal point? https://arxiv.org/abs/1911.00289v1

Probabalistic line searches for stochastic optimization (2017, matlab only but good theory work): https://arxiv.org/abs/1703.10034v2

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