chunyangc's starred repositories
hif-benchmarking
🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃
IEEE_TNNLS_EGU-Net
Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.
SAED_TGRS
X. Wang, Y. Zhong, C. Cui, L. Zhang and Y. Xu, "Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2336-2351, March 2021, doi: 10.1109/TGRS.2020.3001353.
robust-nmf
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
earthlib-legacy
Spectral endmembers and unmixing tools for satellite land cover mapping.
SGSNMF_TGRS
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.
interpy-zh
📘《Python进阶》(Intermediate Python - Chinese Version)
pytorch-beginner
pytorch tutorial for beginners
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
attention-cnn
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
design-resource
A list of design resources.
epslatex-cn
epslatex version 3 中译本
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
DeepLearningTutorials-1
Deep Learning与PyTorch入门实战视频教程
matplotlib
matplotlib: plotting with Python
SGSNMF_TGRS
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.