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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-earthobservation-code

curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

awesome-gee

A curated list of Google Earth Engine resources

awesome-gis

😎Awesome GIS is for collecting the GIS related sources, including cartographer tools, geoanalysis tools, developing tools, data, conference & communities, news, MOOC's course, some amazing map site, etc.

awesome-google-earth-engine

Curated list of Google Earth Engine resources

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

c3d-tensorflow

change-detection-in-satellite-imagery

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

changedetection

Change detection program including IRMAD, MM, MRF etc. python

changedetectionpcakmeans

MATLAB implementation of "Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering".

cnn_ucmerced-landuse_caffe

Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.

coastline-detection-with-planet-images

Project with Dr. Frank Witmer for detecting coastlines in northern Alaska

crc4docker

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

crop-yield-prediction-using-satellite-imagery

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-science-notes

数据科学的笔记以及资料搜集

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepnetsforeo

Deep networks for Earth Observation

dsen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

dstl-image-segmentation

DSTL Satellite Imagery Feature Detection tried with U-Net Model

dstl_image_feature_detection_unet

Image Feature Detection with Deep Learning in Keras. Detailed solution for the Kaggle Competition

duke-mlss-2018

Duke Machine Learning Summer School 2018

duke-tsinghua-mlss-2017

Duke-Tsinghua Machine Learning Summer School 2017

earthengine_scripts

scripts and snippets for Google Earth Engine