| HumanSignal/label-studio |
26,994 |
|
0 |
3 |
5 days ago |
183 |
December 08, 2023 |
752 |
apache-2.0 |
TypeScript |
| Label Studio is a multi-type data labeling and annotation tool with standardized output format |
| lucidrains/vit-pytorch |
16,298 |
|
0 |
6 |
over 2 years ago |
184 |
November 15, 2023 |
114 |
mit |
Python |
| Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch |
| extreme-assistant/CVPR2023-Paper-Code-Interpretation |
12,148 |
|
0 |
0 |
about 3 years ago |
0 |
|
40 |
|
|
| cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理 |
| opencv/cvat |
10,831 |
|
0 |
3 |
about 2 years ago |
23 |
November 27, 2023 |
504 |
mit |
TypeScript |
| Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. |
| microsoft/computervision-recipes |
9,225 |
|
0 |
0 |
about 2 years ago |
0 |
|
66 |
mit |
Jupyter Notebook |
| Best Practices, code samples, and documentation for Computer Vision. |
| jacobgil/pytorch-grad-cam |
8,723 |
|
0 |
10 |
over 2 years ago |
28 |
June 16, 2023 |
109 |
mit |
Python |
| Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. |
| microsoft/ailab |
7,515 |
|
0 |
0 |
almost 3 years ago |
0 |
|
83 |
mit |
C# |
| Experience, Learn and Code the latest breakthrough innovations with Microsoft AI |
| dmlc/gluon-cv |
5,422 |
|
15 |
46 |
about 3 years ago |
1,535 |
February 03, 2023 |
61 |
apache-2.0 |
Python |
| Gluon CV Toolkit |
| Deci-AI/super-gradients |
4,125 |
|
0 |
5 |
about 2 years ago |
38 |
November 23, 2023 |
94 |
apache-2.0 |
Jupyter Notebook |
| Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. |
| roboflow/notebooks |
3,677 |
|
0 |
0 |
about 2 years ago |
0 |
|
33 |
|
Jupyter Notebook |
| Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. |
