Pinned Repositories
ASWMS-ani
Matlab version of GSDF method
BlastFurnace
Full MATLAB code for ES327 project: Online Blast Furnace Mass & Heat Balance
clash_for_windows_pkg
A Windows/macOS GUI based on Clash
ClashForAndroid
A rule-based tunnel for Android.
compsensing_dip
Compressed sensing with deep image prior algorithm
csmri-refinement
Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
deep-image-prior
Image restoration with neural networks but without learning.
deep-learning
try to use deep learning in blast furnace fault diagnosis
DeepRED
DeepRED: Deep Image Prior Powered by RED
DeepVideoCS
PyTorch deep learning framework for video compressive sensing.
GTM269's Repositories
GTM269/ASWMS-ani
Matlab version of GSDF method
GTM269/BlastFurnace
Full MATLAB code for ES327 project: Online Blast Furnace Mass & Heat Balance
GTM269/clash_for_windows_pkg
A Windows/macOS GUI based on Clash
GTM269/ClashForAndroid
A rule-based tunnel for Android.
GTM269/compsensing_dip
Compressed sensing with deep image prior algorithm
GTM269/csmri-refinement
Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
GTM269/deep-image-prior
Image restoration with neural networks but without learning.
GTM269/DeepRED
DeepRED: Deep Image Prior Powered by RED
GTM269/DeepVideoCS
PyTorch deep learning framework for video compressive sensing.
GTM269/Dispersion-Calculator
Dispersion Calculator v2.4
GTM269/Distributed-Compressive-Sensing-A-Deep-Learning-Approach
Distributed Compressive Sensing: A Deep Learning Approach
GTM269/fastFWI
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
GTM269/fipy
FiPy is a Finite Volume PDE solver written in Python
GTM269/FQ-RTM
frequency-domain Q-compensated reverse time migration using a stabilization scheme
GTM269/FWI
acoustic FWI for isotropic media in frequency domain
GTM269/FWISIMAT
Full-waveform inversion in acoustic isotropic media using adjoint state method
GTM269/GB_tampermonkey
GTM269/LAPRAN-PyTorch
GTM269/NabotPythonAPI
Python API for Nabot AI robot
GTM269/PDE-Net
PDE-Net: Learning PDEs from Data
GTM269/PenaltyMethodGJI
Penalty method
GTM269/RTM-MatLab-Code
Reverse Time Migration MatLab Code: this code allows us to run RTM in synthetic seismic data
GTM269/SADN
Synthesis-analysis deconvolutional network for compressed sensing
GTM269/scimax
An emacs starterkit for scientists and engineers
GTM269/SeisElastic2D
An open-source package for multiparameter FWI in isotropic-, anisotropic- and visco-elastic media
GTM269/SimpleFWI
Simple Matlab code for testing optimization algorithms on seismic inverse problems.
GTM269/TGDOF
# TGDOF This is the testing code of TGDOF for CS-MRI. Running the script "AddPath" and then the "Demo_TGDOF" to test the basic deep framework for CS-MRI. TestData ------------ The testing MR slices used in experiments, including 25 T1-weighted data and 25 T2-weighted data. The slices are extracted from the subset of the IXI datasets: http://brain-development.org/ixi-dataset/ ArtifactsModel ------------ The pre-trained model used in Module \mathcal{N}. SamplingPatter: ------------ The three kinds of sampling patterns at five different sampling ratios (10% to 50%). If you utilize this code, please cite the related paper: <br> @inproceedings{liu2019theoretically,<br> title={A theoretically guaranteed deep optimization framework for robust compressive sensing mri},<br> author={Liu, Risheng and Zhang, Yuxi and Cheng, Shichao and Fan, Xin and Luo, Zhongxuan},<br> booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},<br> volume={33},<br> pages={4368--4375},<br> year={2019} }
GTM269/TPG4155-Project-Autumn-2018-10022-10024
Full Waveform Inversion
GTM269/v2ray-core
A platform for building proxies to bypass network restrictions.
GTM269/WavenumberAnalysis
This project allows to perform wavenumber mapping using Matlab.