Jesse Liu's starred repositories
paper-reading
深度学习经典、新论文逐段精读
deep-image-prior
Image restoration with neural networks but without learning.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
standard-readme
A standard style for README files
Excel2LaTeX
The Excel add-in for creating LaTeX tables
PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
AI-Paper-Collector
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
wasserstein-auto-encoder
A brief tutorial on the Wasserstein auto-encoder
hif-benchmarking
🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃
Image-classification-and-prediction-of-skin-cancer
皮肤癌图片分类和预测,kaggle数据集,基于pytorch,通过均衡采样,数据预处理,数据增强,densenet,adam优化器,交叉熵损失函数等技术。结果:precision0.9,recall0.85(仅训练4个周期)
Rotation-oriented-self-supervised
IEEE TMI 2021
Flex-DLD-Deep-Low-rank-Decomposition-Model-with-Flexible-Priors-for-Hyperspectral-Image-Denoising-a
Flex-DLD: Deep Low-rank Decomposition Model with Flexible Priors for Hyperspectral Image Denoising and Restoration
IDNet_release
Codes related to the paper "Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing", IEEE TCI, 2023.