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Aiming at the dissertations nonstandard format problems such as chart format, writing format and formula format, a simple and easy-to-use LaTeX template for Hohai dissertations is provided. The tem…
Update arXiv papers about Spiking Neural Networks daily.
This folder contains codes to optimize parameters involved in Hapke's theory which happens to be a standard principle aimed at determining the abundance of minerals in lunar land using reflectance …
The Pytorch Tutorial of Score-based and Diffusion Model
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
Python code for T-matrix scattering calculations
[P]lanetary [D]ata [R]eader - A single function to read all Planetary Data System (PDS) data into Python
A brand new CNN architecture for rock classification task detected by Chang'e 5 probe NaTeCam
Diffusion model papers, survey, and taxonomy
A collection of resources and papers on Diffusion Models
Unsupervised spectral unmixing through an untied denoising autoencoder with sparsity (uDAS)
Image-to-Image Translation in PyTorch
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
MUUFL Gulfport Hyperspectral and LIDAR Data: This data set includes HSI and LIDAR data, Scoring Code, Photographs of Scene, Description of Data
Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).
Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
Sample code for Constrained Graph Variational Autoencoders
Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.
Must-read papers on graph neural networks (GNN)