sumesh1 Goto Github PK

sepal

Geographical Data Processing in the Cloud

servir-training-notebooks

sigma_rs_atelier2020

Remote Sensing with Museo ToolBox and deep learning

sits

Satellite image time series in R

skin-lesion-segmentation-in-tensorflow-2.0

This repository contains the code for semantic segmentation of the skin lesions on the ISIC-2018 dataset using TensorFlow 2.0.

sktime

A scikit-learn compatible Python toolbox for machine learning with time series

sktime-dl

Deep learning extension package for sktime based on Keras

sosqua

sp19-dl-collaborative-notes

Collaborative lecture notes for Spring '19 NYU DL class

spatial

GIS and Spatial Analysis lecture notes

spatial_autocorrelation

spatialist

A Python module for spatial data handling

spectral

Python module for hyperspectral image processing

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

statslearning

Completed Practicals for Stats Learning -- This was a lecture course taught by Dr. Tengyao Wang (http://www.homepages.ucl.ac.uk/~ucaktwa/) during my MMaths Degree in Cambridge.

strawberryrobot

taming_matplotlib

Tutorials for getting the most out of Matplotlib

temporalcnn

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

tensorflow-computer-vision-tutorial

Tutorials of deep learning for computer vision.

tensorflow-exercises

TensorFlow Exercises - focusing on the comparison with NumPy.

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow2.0-examples

🙄 difficult algorithm, simple code.

tf.keras-commonly-used-models

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

time-series-remote-sensing-construction-idl-code-

It is a IDL-based program for generating a smooth daily time series remote sensing dataset, specifically developed for working with non-equitdistant spacing time series data. It also works well with MODIS, SPOT-VEG. The story of developing this program can referred to my article: Pan Z., Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data. Welcome to use and good luck with your research.

time-series-sar-predictions

Processing Tool For SAR Data & Predictions Code

time_series_analysis_r

Series analysis time using information theory tools

togo-crop-mask

An LSTM to generate a crop mask for Togo

tstools

QGIS2 plugin tools for remote sensing timeseries

tutorial-sessions

Machine learning and deep-learning project tutorials