| WZMIAOMIAO/deep-learning-for-image-processing |
18,759 |
|
0 |
0 |
over 2 years ago |
0 |
|
58 |
gpl-3.0 |
Python |
| deep learning for image processing including classification and object-detection etc. |
| albumentations-team/albumentations |
12,998 |
|
64 |
273 |
over 2 years ago |
53 |
June 10, 2023 |
391 |
mit |
Python |
| Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 |
| qubvel/segmentation_models.pytorch |
8,226 |
|
2 |
49 |
over 2 years ago |
13 |
September 19, 2019 |
27 |
mit |
Python |
| Segmentation models with pretrained backbones. PyTorch. |
| catalyst-team/catalyst |
3,151 |
|
19 |
19 |
almost 3 years ago |
108 |
April 29, 2022 |
6 |
apache-2.0 |
Python |
| Accelerated deep learning R&D |
| BloodAxe/pytorch-toolbelt |
1,458 |
|
1 |
6 |
about 2 years ago |
27 |
June 27, 2022 |
2 |
mit |
Python |
| PyTorch extensions for fast R&D prototyping and Kaggle farming |
| Slicer/Slicer |
1,339 |
|
0 |
0 |
about 2 years ago |
0 |
|
578 |
other |
C++ |
| Multi-platform, free open source software for visualization and image computing. |
| Slicer/SlicerGitSVNArchive |
883 |
|
0 |
0 |
about 6 years ago |
0 |
|
25 |
other |
C++ |
| Multi-platform, free open source software for visualization and image computing. |
| SimpleITK/SimpleITK |
801 |
|
216 |
281 |
about 2 years ago |
34 |
November 06, 2023 |
44 |
apache-2.0 |
SWIG |
| SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages. |
| jasmcaus/caer |
691 |
|
0 |
2 |
almost 3 years ago |
119 |
October 13, 2021 |
2 |
mit |
Python |
| High-performance Vision library in Python. Scale your research, not boilerplate. |
| google-research/maxvit |
340 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
apache-2.0 |
Jupyter Notebook |
| [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling... |
