lzhanggit Goto Github PK

algorithms

Algorithms & Data structures in C++.

awesome-gee

A curated list of Google Earth Engine resources

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

deep-neural-network-satellite-image-classification-in-google-colaboratory-ipython-note-book-

Deep Neural Network: Satellite Image Classification in Google Colaboratory iPython Note Book

deep-neural-network-with-keras-python-satellite-image-classification

Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

downloadacisdata

A class project from course NRES898 at UNL - developing a function that will download data sets from ACIS website and return a csv file as needed

dynamicworld

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

earthengine_scripts

scripts and snippets for Google Earth Engine

eo-learn

Earth observation processing framework for machine learning in Python

gee

gee_tools

Google Earth Engine Tools (scripts)

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

geet

Google Earth Engine Toolbox - Library to write small EE apps or big/complex apps with a lot less code.

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

genshinhelper

Automatically get Genshin Impact daily check-in rewards from miHoYo bbs and HoYoLAB Community. 米游社原神每日签到 | 微博超话签到 | 原神超话监测和领码

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

landuse_classification

Land Use Classification using Convolutional Neural Network in Keras

libsvm

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearningnotes

My personal notes

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

python-100-days

Python - 100天从新手到大师

python-core-50-courses

Python语言基础50课

pythonlab