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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

cesium

An open-source JavaScript library for world-class 3D globes and maps :earth_americas:

cnn-code

使用keras tensorflow构建CNN(googleNet、squeezeNet、mobileNet)

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deep-learning-advanced-topics

deeplearning

tensorflow+object detection

geogrid

A Python module for precise mapping between (pixel index, pixel displacement) in imaging coordinates and (geolocation, motion velocity) in geographic coordinates

geoseg

A Pytorch Module for Building Segmentation and Outline Extraction

geosr

grrnet

idl

IDL code repo

landslide

Research project on building and evaluating deep learning models for landslides detection on satellite images

landslide-1

Classification task for predicting landslides based on GIS maps

landslide_classification

Geology 121 Tectonic Landscapes Final Project

landslides-mls

Estimates landslide magnitude and fits a frequency-area distribution to a landslide inventory

metadataset_objects

Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models

models

Models built with TensorFlow

mvptylere.github.io

notebooks

interactive notebooks from Planet Engineering

pyessi

Python in Distributed Hydrological Model (ESSI)

python-code

Some

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

satellite-segmentation

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

tianchi_guangdong_unet

天池广东遥感比赛中用来识别遥感图片地上建筑的unet深度学习模型。

topgeoscience.github.io

Home page:

xview2

Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed.