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Title: python_developer_tools/python_developer_tools/cv/optimizer at main · carlsummer/python_developer_tools · GitHub

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Description: 论文复现,多机多卡. Contribute to carlsummer/python_developer_tools development by creating an account on GitHub.

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Opengraph URL: https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer

X: @github

direct link

Domain: github.com

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og:image:alt论文复现,多机多卡. Contribute to carlsummer/python_developer_tools development by creating an account on GitHub.
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Adam.pnghttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Adam.png
Adam.pnghttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Adam.png
Lookahead.pyhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Lookahead.py
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RAdam.pyhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/RAdam.py
README.mdhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/README.md
README.mdhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/README.md
Ranger.pyhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Ranger.py
Ranger.pyhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Ranger.py
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README.mdhttps://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#readme
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#sgd
https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/SGD.png
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#asgd平均随机梯度下降算法
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-1
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#adagrad
https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Adagrad.png
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-2
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#adadelta自适应学习率调整
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-3
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#rmsprop
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-4
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#adam自适应矩估计
https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Adam.png
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-5
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#adamax
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-6
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#sparseadam
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-7
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#l-bfgs
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-8
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#rprop弹性反向传播算法
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-9
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#adamw
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-10
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#lookahead
paperhttps://arxiv.org/abs/1907.08610
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#paper
radamhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/RAdam.py
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#radam
paperhttps://arxiv.org/abs/1908.03265
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#paper-1
作者源码https://github.com/LiyuanLucasLiu/RAdam
讲解参考https://lessw.medium.com/new-state-of-the-art-ai-optimizer-rectified-adam-radam-5d854730807b
https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/RAdam.jpeg
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-11
rangerhttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Ranger.py
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#ranger
代码https://github.com/lessw2020/Ranger-Deep-Learning-Optimizer
代码2https://github.com/lessw2020/Ranger21
本地代码https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Ranger21
https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/ranger21/ranger21.jpg
本地代码2https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/Ranger.py
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-12
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#adabound
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#lars
介绍https://www.jianshu.com/p/e430620d3acf
提升https://github.com/mgrankin/over9000
GChttps://arxiv.org/abs/2004.01461
也取得了比Ranger好的效果https://github.com/lessw2020/Ranger-Deep-Learning-Optimizer
Fast SWAhttps://arxiv.org/abs/1806.05594
paperhttps://arxiv.org/abs/1708.03888
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#paper-2
codehttps://github.com/kakaobrain/torchlars
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#code-13
本地代码https://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/torchlars
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#torch-optimizer
官网https://pytorch-optimizer.rtfd.io/
github地址https://github.com/jettify/pytorch-optimizer
whl包https://github.com/carlsummer/python_developer_tools/blob/main/docs/whls/torch_optimizer-0.3.0-py3-none-any.whl
使用例子https://github.com/carlsummer/python_developer_tools/blob/main/test/cv/optimizer/test_torch_optimizer/mnist.py
对比每种优化器的效果https://github.com/carlsummer/python_developer_tools/blob/main/test/cv/optimizer/test_torch_optimizer/viz_optimizers.py
https://arxiv.org/abs/1810.00553https://arxiv.org/abs/1810.00553
https://arxiv.org/abs/1810.00553https://arxiv.org/abs/1810.00553
https://arxiv.org/abs/1810.00553https://arxiv.org/abs/1810.00553
https://arxiv.org/abs/1803.05591https://arxiv.org/abs/1803.05591
https://arxiv.org/abs/2010.07468https://arxiv.org/abs/2010.07468
https://arxiv.org/abs/1902.09843https://arxiv.org/abs/1902.09843
https://arxiv.org/abs/1910.12249https://arxiv.org/abs/1910.12249
https://arxiv.org/abs/1804.04235https://arxiv.org/abs/1804.04235
https://arxiv.org/abs/2006.00719https://arxiv.org/abs/2006.00719
https://arxiv.org/abs/2006.08217https://arxiv.org/abs/2006.08217
https://arxiv.org/abs/1804.00325https://arxiv.org/abs/1804.00325
https://arxiv.org/abs/2009.13586https://arxiv.org/abs/2009.13586
https://arxiv.org/abs/1909.11015https://arxiv.org/abs/1909.11015
https://arxiv.org/abs/1904.00962https://arxiv.org/abs/1904.00962
https://arxiv.org/abs/1907.08610https://arxiv.org/abs/1907.08610
https://arxiv.org/abs/2101.11075https://arxiv.org/abs/2101.11075
https://arxiv.org/abs/1905.11286https://arxiv.org/abs/1905.11286
https://www4.comp.polyu.edu.hk/~cslzhang/paper/CVPR18_PID.pdfhttps://www4.comp.polyu.edu.hk/~cslzhang/paper/CVPR18_PID.pdf
https://arxiv.org/abs/1810.06801https://arxiv.org/abs/1810.06801
https://arxiv.org/abs/1810.06801https://arxiv.org/abs/1810.06801
https://arxiv.org/abs/1908.03265https://arxiv.org/abs/1908.03265
https://medium.com/@lessw/new-deep-learning-optimizer-ranger-synergistic-combination-of-radam-lookahead-for-the-best-of-2dc83f79a48dhttps://medium.com/@lessw/new-deep-learning-optimizer-ranger-synergistic-combination-of-radam-lookahead-for-the-best-of-2dc83f79a48d
https://arxiv.org/abs/1810.06801https://arxiv.org/abs/1810.06801
https://arxiv.org/abs/1908.00700v2https://arxiv.org/abs/1908.00700v2
https://arxiv.org/abs/2006.08217https://arxiv.org/abs/2006.08217
https://arxiv.org/abs/1608.03983https://arxiv.org/abs/1608.03983
https://arxiv.org/abs/1712.07628https://arxiv.org/abs/1712.07628
https://arxiv.org/abs/1802.09568https://arxiv.org/abs/1802.09568
https://papers.nips.cc/paper/8186-adaptive-methods-for-nonconvex-optimizationhttps://papers.nips.cc/paper/8186-adaptive-methods-for-nonconvex-optimization
utilshttps://github.com/carlsummer/python_developer_tools/blob/main/python_developer_tools/cv/optimizer/utils.py
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#utils
https://github.com/carlsummer/python_developer_tools/tree/main/python_developer_tools/cv/optimizer#参考链接
https://www.zhihu.com/question/340834465https://www.zhihu.com/question/340834465
https://github.com
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