Python - 100天从新手到大师

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A Library for Advanced Deep Time Series Models.

PyTorch深度学习快速入门教程（绝对通俗易懂！）

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

Fast Randomized PCA/SVD

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

Clean up the public namespace of your package!

A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging

This repo provides a clean implementation of the paper "Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Representation"

Source code for our 2022 SciencesAdvances paper "Pixels2Pose: Super-resolution time-of-flight imaging for 3D pose estimation."

Repository for the paper Spatial images from temporal data, published in: Optica 7, 900-905 (2020)