Cyclone-Zhang’s gists

Athou / docker-wsl2-setup.sh

Last active April 20, 2025 04:35

install docker in Debian 11/WSL2 without Docker Desktop

	# install docker in Debian 11/WSL2
	# uses systemd-genie since docker requires systemd but it's not available for WSL
	# this is an alternative to Docker Desktop

	# prerequisites
	sudo apt-get update
	sudo apt-get dist-upgrade
	sudo apt-get install ca-certificates curl wget gnupg lsb-release apt-transport-https

	# systemd-genie requires dotnet runtime, add Microsoft repo

blaylockbk / download_GOES_AWS.py

Created August 30, 2019 17:31

View and download GOES data on AWS with s3fs

	# Brian Blaylock
	# Requres `s3fs`
	# Website: https://s3fs.readthedocs.io/en/latest/
	# In Anaconda, download via conda-forge.

	import s3fs

	# Use the anonymous credentials to access public data
	fs = s3fs.S3FileSystem(anon=True)

fchollet / classifier_from_little_data_script_3.py

Last active February 26, 2025 01:37

Fine-tuning a Keras model. Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

fchollet / classifier_from_little_data_script_2.py

Last active February 26, 2025 01:37

Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

fchollet / classifier_from_little_data_script_1.py

Last active February 26, 2025 01:37

Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

jbolster / himawari.ps1

Created February 4, 2016 10:22 — forked from MichaelPote/himawari.ps1

Windows Powershell Script to download the latest image from the Himawari-8 satelite, combine the tiles into a single image, convert to jpg and then set as the desktop background.

	#
	# Himawari-8 Downloader
	#
	#
	#
	# This script will scrape the latest image from the Himawari-8 satellite, recombining the tiled image,
	# converting it to a JPG which is saved in My Pictures\Himawari\ and then set as the desktop background.
	#
	# http://himawari8.nict.go.jp/himawari8-image.htm
	#

MichaelPote / himawari.ps1

Created February 3, 2016 19:11

Windows Powershell Script to download the latest image from the Himawari-8 satelite, combine the tiles into a single image, convert to jpg and then set as the desktop background.

	#
	# Himawari-8 Downloader
	#
	#
	#
	# This script will scrape the latest image from the Himawari-8 satellite, recombining the tiled image,
	# converting it to a JPG which is saved in My Pictures\Himawari\ and then set as the desktop background.
	#
	# http://himawari8.nict.go.jp/himawari8-image.htm
	#