| Name | Version | Summary | date |
| dgenerate-ultralytics-headless |
8.3.179 |
Automatically built Ultralytics package with python-opencv-headless dependency instead of python-opencv |
2025-08-14 00:59:27 |
| hub-sdk |
0.0.23 |
Ultralytics HUB Client SDK. |
2025-08-13 23:30:30 |
| ultralytics |
8.3.179 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2025-08-13 22:15:27 |
| zmkj-rknn-yolov8 |
8.0.151.post2 |
自用rknn yolov8 版本 只修复了 weights_only=False 问题 来源https://github.com/airockchip/ultralytics_yolov8 8.0.151 v1.6分支 |
2025-08-11 11:12:58 |
| rknn-yolov8 |
8.2.82 |
自用rknn yolov8 版本 8.2.82 只修复了 weights_only=False 问题 |
2025-08-11 08:29:26 |
| torch-tensorrt |
2.8.0 |
Torch-TensorRT is a package which allows users to automatically compile PyTorch and TorchScript modules to TensorRT while remaining in PyTorch |
2025-08-09 06:02:00 |
| JAEN |
1.1.1 |
차별화된 자체 교육 콘텐츠와 실무 중심 교육 |
2025-08-05 07:41:01 |
| opda |
0.8.0 |
Design and analyze optimal deep learning models. |
2025-08-03 02:14:26 |
| aptx-neuron |
0.0.3 |
A PyTorch implementation of the APTx Neuron. |
2025-07-29 10:44:31 |
| rfdetr |
1.2.1 |
RF-DETR |
2025-07-24 11:54:04 |
| boxmot |
15.0.2 |
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models |
2025-07-23 20:43:35 |
| supervision |
0.26.1 |
A set of easy-to-use utils that will come in handy in any Computer Vision project |
2025-07-23 06:48:23 |
| boxmot-with-tracker |
13.1.13 |
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models |
2025-07-11 11:32:43 |
| boxmot-with-appoint-id |
13.1.4 |
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models |
2025-07-09 10:16:29 |
| vsensebox-ultralytics |
8.3.58 |
Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2025-01-08 15:08:16 |
| syml-ultralytics |
8.3.38 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-27 10:45:13 |
| superverse |
0.3.0 |
A set of easy-to-use utils that will come in handy in any Computer Vision project |
2024-11-25 23:41:41 |
| ultralyticsheadless |
8.3.33 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-19 13:40:29 |
| ultralytics-headless |
8.3.33 |
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-11-18 17:28:24 |
| rlmc |
1.2.2 |
Python utils for AI 🚀 |
2024-11-16 07:57:55 |