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【雑多】個人的情報収集【逐次更新】

2021/03/20に公開約8,600字

README

業務でCNN画像分類を取り扱っているため、関連情報の収集となります。

広範囲な情報収集のため、分類が正しくない可能性があります。
レイアウトや別ページに分ける可能性もございます。
逐次更新してまいりますので、ご了承願います。

※ 2021_03_21 : 初回更新
※ 2021_03_28 : 追加

誰かのお役に立てれば幸いです。


About AI

https://www.google.com/amp/s/deepage.net/amp/deep_learning/2016/11/07/convolutional_neural_network

https://axa.biopapyrus.jp/deep-learning/sample/image-shape.html

https://qiita.com/mathlive/items/2a512831878b8018db02

https://qiita.com/takurooo/items/e4c91c5d78059f92e76d

https://ai-scholar.tech/articles/deep-learning/closs-square

Dataset

https://lionbridge.ai/ja/datasets/the-50-best-free-datasets-for-machine-learning/

Machine Learning

http://hokuts.com/2015/11/24/ml1_func/

AWS

https://ohke.hateblo.jp/entry/2020/01/04/164500

AWS Amplify

https://netmark.jp/2020/09/2020-09-17-12-43.html

https://aws.amazon.com/jp/blogs/startup/techblog-3reasons-amplify/

AWS Cognito

https://www.google.com/amp/s/fintan.jp/%3Fp%3D5593%26amp

ElastiCache

https://www.acrovision.jp/service/aws/?p=786

AWS Lake Formation

https://dev.classmethod.jp/articles/lakeformation_tutorial/

AWS SageMaker

https://dev.classmethod.jp/articles/breaking-amazon-sagemaker-pipelines/

S3

https://qiita.com/nanaco/items/ee946980ccd3fef59876

https://dev.classmethod.jp/articles/should_i_choice_s3_storage_class/

http://stm-mynote.hatenablog.com/entry/2017/05/11/181904

chalice

https://dev.classmethod.jp/articles/chalice-handson/

https://www.codementor.io/@dushyantbgs/building-serverless-applications-using-aws-chalice-15jzvp4uqh

https://www.bioerrorlog.work/entry/aws-cdk-chalice

deploy model

https://rskmoi.hatenablog.com/entry/2019/12/20/005911

CNN

Transfer learning

https://curiousily.com/posts/transfer-learning-for-image-classification-using-torchvision-pytorch-and-python/

Mulch task

https://www.softbanktech.co.jp/special/blog/cloud_blog/2019/0060/

Segmentation

https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html

https://torch.classcat.com/category/mask-r-cnn/

https://tech-blog.optim.co.jp/entry/2019/03/11/173000

https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html

https://towardsdatascience.com/master-the-coco-dataset-for-semantic-image-segmentation-part-1-of-2-732712631047

https://github.com/zijundeng/pytorch-semantic-segmentation/blob/master/train/voc-fcn/train.py

https://colab.research.google.com/github/pytorch/vision/blob/temp-tutorial/tutorials/torchvision_finetuning_instance_segmentation.ipynb

https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html

https://awesomeopensource.com/projects/instance-segmentation

https://tech-blog.optim.co.jp/entry/2019/03/28/173000

https://pytorch.org/hub/nvidia_deeplearningexamples_ssd/

Visualization

https://www.kaggle.com/jesucristo/quick-visualization-eda

PyTorch

gpu計算時間

https://www.mattari-benkyo-note.com/2021/03/21/pytorch-cuda-time-measurement/

https://yutaroogawa.github.io/pytorch_tutorials_jp/

Dataset

https://betashort-lab.com/データサイエンス/ディープラーニング/pytorchのdatasetsで画像データセットを作る/

https://ohke.hateblo.jp/entry/2019/12/28/230000

scikit-learn

PCA

http://swdrsker.hatenablog.com/entry/2016/12/16/023115

https://qiita.com/maskot1977/items/082557fcda78c4cdb41f

Keras

https://hazm.at/mox/machine-learning/computer-vision/keras/intermediate-layers-visualization/index.html

GradCAM / GradCAM++ / ScoreCAM

https://www.kaggle.com/itoeiji/visual-explanations-gradcam-gradcam-scorecam

transformer

https://recruit.gmo.jp/engineer/jisedai/blog/vision_transformer/

https://club.informatix.co.jp/?p=1265&amp=1

https://deepsquare.jp/2020/10/vision-transformer/

https://arc-mec.com/ailabo/2020/09/21/transformerのattentionの解説/

Python

https://note.nkmk.me/python/
https://pycarnival.com/category/python入門/

commandline

https://hibiki-press.tech/learn_prog/python/commandline_argparse/1130

http://swdrsker.hatenablog.com/entry/2018/05/04/100000

time

https://qiita.com/hisatoshi/items/7354c76a4412dffc4fd7

image

https://qiita.com/Zumwalt/items/4d9bc15608483fa77476

unicode

https://github.com/fluentpython/unicode-solutions

from random import sample

https://tutorialmore.com/questions-454081.htm

partial

https://pycarnival.com/partial/

Pandas

https://naotaka1128.hatenadiary.jp/entry/pandas-start-guide

Numpy

  • 極座標系

https://algorithm.joho.info/programming/python/numpy-cartesian-to-polar/

https://www.dogrow.net/python/blog62/
  • ヤコビ行列

https://tutorialmore.com/questions-231836.htm

Matplotlib

  • 極座標系

https://tutorialmore.com/questions-147320.htm

https://matplotlib.org/stable/gallery/misc/transoffset.html

LightGBM

https://blog.amedama.jp/entry/lgbm-tree-plot

RNN

https://www.atmarkit.co.jp/ait/articles/2103/19/news035.html

Neural Network

  • 神経生理学の視点で見るニューラルネットワーク入門

https://speakerdeck.com/takyamamoto/shen-jing-sheng-li-xue-falseshi-dian-dejian-runiyurarunetutowakuru-men

Django

https://www.django-rest-framework.org/coreapi/from-documenting-your-api/#built-in-api-documentation

https://django-rest-swagger.readthedocs.io/en/latest/

https://yuruli.info/django3-on-docker-in-pycharm/

django file upload

https://qiita.com/ekzemplaro/items/07abd9a941bcd0eb5834

https://djangostars.com/blog/bootstrap-django-app-with-cognito/

https://github.com/labd/django-cognito-jwt

Django Token Authentication

https://youtu.be/0d7cIfiydAc

Docker

https://codezine.jp/article/detail/12830

Nginx

499 error

https://www.it-swarm.jp.net/ja/nginx/nginx-499エラーコード/1069135348/

React

https://qiita.com/yonetty/items/012be4c5c6258a609e35

https://qiita.com/yonetty/items/ad19bddc26806bb49cef

https://qiita.com/Kouichi_Itagaki/items/c8e05f084fe88a086100

https://ja.reactjs.org/docs/hooks-effect.html

https://super-yusuke.gitbook.io/udemy-course/bu-zu-zi-liao/class-component-to-functional-component-noiwake

https://ja.reactjs.org/docs/hooks-effect.html

https://ja.reactjs.org/docs/react-component.html

https://teratail.com/questions/235707

https://www.it-mure.jp.net/ja/reactjs/typescriptで関数を引数としてreactjsコンポーネントに渡す方法/824144441/

https://awesome-linus.com/2020/01/10/react-props-function-type/

https://zenn.dev/masalib/books/2d6e8470732c8b/viewer/958e9f

https://b1840943.hatenablog.jp/entry/2019/12/17/221947

https://www.seleqt.net/programming/optimizing-react-performance/amp/

TypeScript

https://zenn.dev/suin/scraps/9f3cfc934e98fe

https://book.yyts.org/

material-ui

https://material-ui.com/components/grid-list/

https://material-ui.com/api/tab-scroll-button/

https://zenn.dev/imasyou/articles/ca9995b3ed68598f78a1

t-SNE

https://deepage.net/machine_learning/2017/03/08/tsne.html

http://machinelearningtub.blogspot.com/2019/02/t-sne-intuition.html?m=1

分類前

https://www.kaggle.com/artgor/object-detection-with-pytorch-lightning
https://github.com/cocodataset/cocoapi/tree/master/PythonAPI/pycocotools
https://www.kaggle.com/cankls3/carvana-pytorch
https://kharshit.github.io/blog/2019/08/23/quick-intro-to-instance-segmentation
https://www.kaggle.com/mlagunas/naive-unet-with-pytorch-tensorboard-logging
https://www.kaggle.com/witwitchayakarn/u-net-with-pytorch
https://chacha95.github.io/2020-02-10-Object-Detection1/
https://qiita.com/phyblas/items/2ad3d70841ca4a888ee4
https://qiita.com/phyblas/items/d4884a58041eaa01ef5e
https://github.com/xiaopeng-liao/Pytorch-UNet/commit/8ebac70e633bac59fc22bb5195e513d5832fb3bd?diff=unified
https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/demo/predictor.py
https://products.sint.co.jp/aisia/blog/vol1-16#toc-4
https://m.blog.naver.com/dschae9/221868282655
https://lp-tech.net/articles/hzfn7

how to load

https://stackoverflow.com/questions/55075715/how-to-load-images-with-multiple-json-annotation-in-pytorch

ssd

https://github.com/amdegroot/ssd.pytorch
https://github.com/qfgaohao/pytorch-ssd

ignite

https://pytorch.org/ignite/v0.1.1/metrics.html#ignite.metrics.Recall
https://pytorchhair.gitbook.io/project/utils/untitled

param

https://www.hellocybernetics.tech/entry/2018/02/20/182906

https://github.com/replicate/keepsake

Discussion

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