The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

My blogs and code for machine learning. http://cnblogs.com/pinard

数据科学的笔记以及资料搜集

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

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

Classifying remote sensing data with random forest

Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）

A set of notebook tutorials for RSGISLib.

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

Deep Leaning (DL) for remote sensing image (RSI) classification.

Phenological analysis of Remote Sensing data with Python

This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And the paper has been accpeted by remote sensing.

Notebook for the GRASS GIS for remote sensing data processing and analysis workshop at FOSS4G 2022 in Florence

classification of remote sensing images using Convolutional Neural Networks (CNN)

Remote sensing project in which crop classification is done using the help of Hyper spectral image technologies

Demo of the paper: "An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing"

Geo-spatial utilities for Remote Sensing and GIS application

A machine learning code for feature selection and classification of Burn Severity from Landsat and LiDAR data

This systems works for keeping track the season crop dynamics based on remote sensing images.