Pinned Repositories
contextual_loss_pytorch
Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
hiraishin
A lightning rod for DL Models
lpips-pytorch
A simple and useful implementation of LPIPS.
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
sr-pytorch-lightning
Super-Resolution with pytorch-lightning
SRCNN
SRGAN-minimal
srntt-pytorch
A PyTorch implementation of SRNTT, which is a novel RefSR method.
SRRAM
Unofficial Implementation of Residual Attention Module
vgg_util
The VGG model easy to use for perceptual losses
S-aiueo32's Repositories
S-aiueo32/contextual_loss_pytorch
Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
S-aiueo32/lpips-pytorch
A simple and useful implementation of LPIPS.
S-aiueo32/srntt-pytorch
A PyTorch implementation of SRNTT, which is a novel RefSR method.
S-aiueo32/SRRAM
Unofficial Implementation of Residual Attention Module
S-aiueo32/sr-pytorch-lightning
Super-Resolution with pytorch-lightning
S-aiueo32/hiraishin
A lightning rod for DL Models
S-aiueo32/SRGAN-minimal
S-aiueo32/vgg_util
The VGG model easy to use for perceptual losses
S-aiueo32/dni-demo
A Demonstration of Deep Network Interpolation
S-aiueo32/kill-docx
:fu: SAY NO TO MS WORD :fu:
S-aiueo32/PerceptualSimilarity
Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.
S-aiueo32/StyleGAN_PyTorch
The implementation of StyleGAN on PyTorch 1.0.1
S-aiueo32/water-filling-python
S-aiueo32/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
S-aiueo32/AutoDownloadCVPR2019
python script for automatic download of CVPR2019 papers
S-aiueo32/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
S-aiueo32/docker-playground
S-aiueo32/gokart
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
S-aiueo32/hiraishin-sr
SR models with Hiraishin
S-aiueo32/kornia
Open Source Differentiable Computer Vision Library
S-aiueo32/PlotNeuralNet
Latex code for making neural networks diagrams
S-aiueo32/S-aiueo32
Config files for my GitHub profile.
S-aiueo32/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
S-aiueo32/SRNTT
Image Super-Resolution by Neural Texture Transfer
S-aiueo32/stylegan2-pytorch
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
S-aiueo32/surya
Accurate line-level text detection and recognition (OCR) in any language
S-aiueo32/torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
S-aiueo32/trains-demo
S-aiueo32/Transformer_STR
PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.
S-aiueo32/vision
Datasets, Transforms and Models specific to Computer Vision