JunchuanYu's repositories
Deep-learning-teaching
Deep learning courses for postgraduates
MFGNet_Cloud_Detection_Remote_Sensing
This is the offical implementation for our paper "An effective cloud detection method for GaoFen-5 images via deep learning"
Work-with-Remote-Sensing-Data-in-Python
Learn How to Work With Landsat Multispectral Remote Sensing Data in Python, Data Science Course, ModelWhale Workshop
3DCAE_Hyper
Repo for the paper "An Attention-based 3D Convolutional Autoencoder for Few-shot Hyperspectral Unmixing" and Classification
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
AutoMJ
none
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
CLIP-SAM
Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.
earthlib
Spectral endmembers and unmixing tools for satellite land cover mapping.
geospatial-wheels
Geospatial library wheels for Python on Windows
Hyperspectral-Image-Classification-Models
收录及复现的高光谱遥感图像分类模型
Interactive-Machine-Learning-Experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
JunchuanYu
Config files for my GitHub profile.
NOAA-quarto-simple-python
Simple Quarto website with Python code. GitHub Action renders when there are changes
OUNet_for_multi-class_land_cover_classification
This is the official repository for paper “Research on the optimization of multi-class land cover classification using deep learning with multispectral imagery”
quarto-rladies-theme
R-Ladies template for Quarto presentations with reveal.js
SAM-CDFFNet
This is the official repository for paper “SAM-CDFFNet：SAM-based Cross-Dept Feature Fusion Net-work for Intelligent Identification of Landslides”
TransLandSeg
This is the official repository for paper “TransLandSeg ：Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model”
tuning_playbook_zh_cn
一本系统地教你将深度学习模型的性能最大化的战术手册。
water_gee
This repository provides a way to extract water bodies using deep learning methods in GEE.