Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.
| Date | Stars |
|---|---|
| 2026-07-31 | 258 |
| 2026-08-03 | 258 |
| 2026-08-06 | 258 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
[](https://zread.ai/shanglianlm0525/CvPytorch) CvPytorch CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch. ## What's New!!! - [2022.10.16] Release **SegNeXt** models with *segnext_s*, *segnext_b*, *segnext_l* on [Cityscapes](https://www.cityscapes-dataset.com/) (**81.22** , **82.49**， **82.57** **mIoU**). - [2022.10.04] Release **SegNeXt** models with *segnext_t* on [Cityscapes](https://www.cityscapes-dataset.com/) (**79.83mIoU**). - [2022.09.25] Release **ObjectBox** models with objectbox-l on [COCO](http://mscoco.org/) (**38.38mAP**). - [2022.09.21] Release **YOLOX-PAI** models with *yolox-pai-s* on [COCO](http://mscoco.org/) (**41.06mAP**), pls refer to [conf/coco_pai_yolox_s.yml](conf/coco_pai_yolox_s.yml). - [2022.09.18] Release **YOLO7** models with yolov7-l on [COCO](http://mscoco.org/) (**45.26mAP**). - [2022.09.12] Release **ObjectBox** models with objectbox-m on [COCO](http://mscoco.org/) (**36.41mAP**). - [2022.08.03] Release **LPSNet** models with lpsnet_s on [Cityscapes](https://www.cityscapes-dataset.com/) (**56.66mIoU**). - [2022.07.17] Release **FastestDet** models on [COCO](http://mscoco.org/) (**11.42mAP**). - [2022.07.10] Release **YOLO6** models with yolov6-s on [COCO](http://mscoco.org/) (**39.63mAP**). - [2022.06.11] Release **YOLOX** models with yolox-s on [COCO](http://mscoco.org/) (**38.36mAP**). - [2022.05.31] Release **YOLOv5** models with *yolov5-s* on [COCO](http://mscoco.org/) (**36.10mAP**), pls refer to [conf/coco_yolov5_s.yml](conf/coco_yolov5_s.yml). - [2022.05.19] Release **EfficientNet** models with *efficientnet_b0*, *efficientnet_b1*, *efficientnet_b2*, *efficientnet_b3*, *efficientnet_b4*, *efficientnet_b5*, *efficientnet_b6* and *efficientnet_b7* on [Mini-ImageNet](http://image-net.org) (**85.08, 85.60, 85.74, 86.06, 88.69, 85.62, 85.76 and 85.54 mAcc**). - [2022.05.16] Release **ConvNeXt** models with *convnext_tiny*, *convnext_small*, *convnext_base* and *convnext_large* on [Mini-ImageNet](http://image-net.org) (**83.45, 83.97, 85.32 and 85.90 mAcc**). - [2022.05.14] Release **VGG** models with *vgg11*, *vgg13*, *vgg16* and *vgg19* on [Mini-ImageNet](http://image-net.org) (**58.52, 62.32, 56.45 and 50.36 mIoU**). - [2022.05.12] Release **shufflenetv2_x0.5** and **shufflenetv2_x1.0** models on [Mini-ImageNet](http://image-net.org) (**63.85 and 69.80mAcc**). - [2022.05.11] Release **mobilenet_v3_large** models on [Mini-ImageNet](http://image-net.org) (**83.26mAcc**). - [2022.05.11] Rel
Excerpt of 9,675 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ff2c3190370a5099, desc:computer vision