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code_gdal

code_gee

cropmappinginterpretation

Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".

deepcropmapping

Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping".

deeplearningnotes

《深度学习》花书手推笔记

early-prediction_distribution-yield

easy-algorithm-interview-and-practice

example-scripts

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

gee_s1_ard

Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

geeup_ly

Simple CLI for Google Earth Engine Uploads

img

IMG for markdown

lihang-code

《统计学习方法》的代码实现

lt-gee

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

machine-learning-notes

周志华《机器学习》手推笔记

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

ml_notes

机器学习算法的公式推导以及numpy实现

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

semantic-segmentation-guide

A Theory and Practical Guide to Deep Learning Semantic Segmentation

street2sat_tree

topology_based_framework

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch