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ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

air_pollution_forcast_beijing

基于Keras的LSTM多变量时间序列预测

building-detection

semantic segmentation,DeepLab,U-Net,SCSENet,BAM,DenseASPP,Remote sensing,tensorflow2

cropharvest

Open source remote sensing dataset with benchmarks

deeplabv3-tensorflow

使用deeplab_v3模型对遥感图像进行分割

eesdm

Google Earth Engine-based Species Distribution Modeling

end-to-end-gee

Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gee-gedi-labeling-classification

Automated label production model and crop classification model based on GEDI data built on GEE (Google Earth Engine),

gee_python

Google Earth Engine(GEE) for Python

geopy

Python空间数据处理实战

github-chinese-top-charts

:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（武汉加油！**加油！世界加油！）

global-cropland-mapping

using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data

h5player

网页播放器增强脚本，支持：播放进度记录、播放倍率记录、快进快退、倍速播放、画面缩放等

hlj_soybean_map

A 30-m dataset that mapped the areas of soybean planting in Heilongjiang Province was produced, for the period of 1984~2020, based on Landsat-5/7/8 images and the Google Earth Engine (GEE) platform. Maps were made with a random forest classifier and phenological features extracted by a double-logistic model and a linear harmonic model. Here share our codes about how to use GEE platform to generate soybean maps and to verify accuracy of the map.

lce

Random Forest or XGBoost? It is Time to Explore LCE

machine_learning

机器学习算法经典案例

mltemplate

机器学习(Machine Learning, ML)python简洁实现，包括混合高斯模型，KMeans，决策树，随机森林，K近邻，线性判别分析，逻辑斯蒂回归（梯度下降法，牛顿法），多层感知机（分类+回归），Naive Bayes（离散+高斯），多分类SVM，线性回归，隐马尔可夫模型（包括前向算法，后向算法，Viterbi算法和BaumWelch算法），主成分分析等模型

multitemporal-multispectral-remotesensing-cropclassification

Crop Classification of Remotely Sensed Images containing Multi Temporal and Multispectral Information

openearthenginelibrary

pysplit

A package for HYSPLIT air parcel trajectory analysis.

python-100-days

Python - 100天从新手到大师

time-series-forecast

Codes for time series forecast

tsp_collection

TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)

unet-remotesensing

Remote-sensing-based crop mapping implemented using UNet architecture