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pygsp_tutorial_graphsip

Graph signal processing tutorial, presented at the GraphSiP summer school.

pylops_notebooks

Collection of notebooks showcasing how to use various PyLops functionalities

pythondatamining

:notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

recent-stars-2023

🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

researchpublic

Recent papers and supplementary material

sbss

MATLAB code of split Bregman algorithm for structured sparsity (SBSS)

scico

Scientific Computational Imaging COde

segyio-notebooks

Notebooks with examples and demos of segyio

seismic-impedance-inversion-based-on-semi-supervised-learning

seismicpro

Seismic data processing with ML and deep learning

seismic_pnp

Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers

server

PanDownload的个人维护版本

sfd-cnn-tl

Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data -- Authors: Augusto Cunha, Axelle Pochet, Helio Lopes, Marcelo Gattass

sista-rnn

Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding

str

Soft Threshold Weight Reparameterization for Learnable Sparsity

student_depression_prediction

Data analysis to provide insights in order to find solutions to the problem of depression and suicide especially in university students.

trpa

Truncated Residual Based Plug-and-Play ADMM Algorithm for MRI Reconstruction

tvgl

ucas-course

**科学院大学研一课程教材课件共享项目University of Chinese Academy of Sciences postgraduate course textbook sharing project

unet-mri-reconstruction

unrolled-optimization-with-deep-priors

verbal-explanations-of-spatio-temporal-graph-neural-networks-for-traffic-forecasting

An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.

volvesynthetic

A Volve-alike synthetic dataset for testing of seismic processing and imaging algorithms