MVPTylerE

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:

Deep-Learning-Advanced-Topics

landslide

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

landslide_classification

Geology 121 Tectonic Landscapes Final Project

notebooks

interactive notebooks from Planet Engineering

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.

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

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-1

Classification task for predicting landslides based on GIS maps

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

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.