| 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 |
| PhoenixDL/rising |
300 |
|
0 |
5 |
almost 3 years ago |
8 |
December 20, 2021 |
30 |
mit |
Jupyter Notebook |
| Provides everything needed for high performance data loading and augmentation in pytorch. |
| HasnainRaz/SemSegPipeline |
131 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Python |
| A simpler way of reading and augmenting image segmentation data into TensorFlow |
| Evizero/Augmentor.jl |
123 |
|
0 |
0 |
almost 4 years ago |
0 |
|
24 |
other |
Julia |
| A fast image augmentation library in Julia for machine learning. |
| albumentations-team/autoalbument |
89 |
|
0 |
0 |
about 5 years ago |
10 |
February 21, 2021 |
3 |
mit |
Python |
| AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/ |
| kartik4949/TensorPipe |
86 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations. |
| NVlabs/tensorcom |
66 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
bsd-3-clause |
Python |
| catalyst-team/classification |
35 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
apache-2.0 |
Shell |
| Catalyst.Classification |
| catalyst-team/segmentation |
27 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Catalyst.Segmentation |
| meliketoy/image-preprocessing |
17 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Python |
| Image pre-processing pipeline |
