Github Repositories Trend
basveeling/pcam
The PatchCamelyon (PCam) deep learning classification benchmark.
Total stars
411
Stars per day
0
Created at
4 years ago
Language
Python
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BCDU-Net : Medical Image Segmentation
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
A large-scale dataset of both raw MRI measurements and clinical MRI images.
IJCAI2020 & IJCV 2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
Code release for NeX: Real-time View Synthesis with Neural Basis Expansion
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
An open source implementation of CLIP.
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!


rezazad68/BCDU-Net
BCDU-Net : Medical Image Segmentation
Total stars
537
Language
Python
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lishen/end2end-all-conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Total stars
310
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facebookresearch/fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Homepage
Total stars
921
Language
Python
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layumi/Seg-Uncertainty
IJCAI2020 & IJCV 2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
Homepage
Total stars
349
Language
Python
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nex-mpi/nex-code
Code release for NeX: Real-time View Synthesis with Neural Basis Expansion
Total stars
543
Language
Python
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Janspiry/Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
Total stars
670
Language
Python
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yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Total stars
1,268
Language
Python
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mlfoundations/open_clip
An open source implementation of CLIP.
Total stars
3,110
Language
Python
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cszn/BSRGAN
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Total stars
818
Language
Python
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