ftyQAQ

Pinned Repositories

CycleGAN-and-pix2pix
Unpaired and paired image-to-image translation.
Language:Python2 1 00
LIBNet
Neural network for Lithium-ion battery in nanoCT images. For now, only the segmentation module is included.
Language:Jupyter Notebook00
MIRNet
super-resolution image-denoising image-enhancement
Language:Python0 1 00
noise2noise
denoise
Language:Python00
RIFE
Video Frame Interpolation
Language:Python00
SloMo
Video Frame Interpolation
Language:Python0 1 00
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Language:Python00
tomopy
Tomographic Reconstruction in Python
Language:Python0 0 00
CDNet
Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes
Language:Python3 1 11
corresnet
Corresnet is a deep-learning-based image jitter correction method for synchrotron nano-resolution tomographic reconstruction.
Language:Python3 2 11

ftyQAQ's Repositories

ftyQAQ/CycleGAN-and-pix2pix
Unpaired and paired image-to-image translation.
Language:Python2 1 00
ftyQAQ/LIBNet
Neural network for Lithium-ion battery in nanoCT images. For now, only the segmentation module is included.
Language:Jupyter Notebook00
ftyQAQ/MIRNet
super-resolution image-denoising image-enhancement
Language:Python0 1 00
ftyQAQ/noise2noise
denoise
Language:Python00
ftyQAQ/RIFE
Video Frame Interpolation
Language:Python00
ftyQAQ/SloMo
Video Frame Interpolation
Language:Python0 1 00
ftyQAQ/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Language:Python00
ftyQAQ/tomopy
Tomographic Reconstruction in Python
Language:Python0 0 00