lilliandl Goto Github PK
Name: Y. Li
Type: User
Y. Li's Projects
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
cs-231n
CS231n: Convolutional Neural Networks for Visual Recognition
elmm_hyperspectral_unmixing_code
Python code for unmixing using the Extended Linear Mixing Model and variants
fair-classification
Code for “Fair and Optimal Classification via Transports to Wasserstein-Barycenter”.
hyperspectral-image-restoration-via-total-variation-regularized-low-rank-tensor-decomposition
code of Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
hyperspectral-image-unmixing
Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).
itkpca
An ITK-based implementation of principal components analysis. A more detailed description can be found in the Insight Journal article: Bowers M., Younes L. ''Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data.'' August, 2013.
lrtfl0
code of "Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization"
optimizer-pytorch
Package of Optimizer implemented with PyTorch .
practice-in-paddle
《神经网络与深度学习》案例与实践
sizerpy
Resizing Raster using inverse spatial principal component analysis (isPCA) method
ssnmf_classification
spectral image classification
unmixing_tutorial_ieee_iadf
Codes and data for Unmixing
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