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awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

chinasoybean10

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".

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fastai

The fastai deep learning library

fastbook

The fastai book, published as Jupyter Notebooks

geemap

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

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.

hub

A library for transfer learning by reusing parts of TensorFlow models.

machinelearningnote

models

Models and examples built with TensorFlow

ms-convstar

Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

pytorch-tutorial-1

PyTorch深度学习快速入门教程（绝对通俗易懂！）

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

remote-sensing-image-classification

Remote sensing image classification based on deep learning

unet_rsimage_multi-band_multi-class

keras遥感图像Unet语义分割(支持多波段&多类)