| Name | Version | Summary | date |
| albumentationsx |
2.0.11 |
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows. |
2025-09-14 17:23:52 |
| onedl-mmdetection |
3.4.0rc1 |
OpenMMLab Detection Toolbox and Benchmark |
2025-09-03 13:42:34 |
| tardis-em |
0.3.19 |
PyTorch segmentation of 2D/3D images such as electron tomography (ET),Cryo-EM or fluorescent microscopy data into 3D segmented point cloud. |
2025-09-01 04:54:55 |
| isat-sam |
1.4.1 |
Interactive semi-automatic annotation tool for image segmentation based on SAM(segment anything model). |
2025-08-07 03:41:55 |
| laco |
0.0.2 |
Lazy configurations for reproducible deep learning experiments. |
2025-02-18 10:27:46 |
| albumentations |
2.0.4 |
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks) data, with optimized performance and seamless integration into ML workflows. |
2025-02-11 21:50:46 |
| patched-yolo-infer |
1.3.7 |
Patch-Based-Inference for detection/segmentation of small objects in images. |
2025-01-09 18:57:36 |
| unitrack |
4.7.2 |
A multi-stage object tracking framework |
2024-04-16 11:57:18 |