| ultralytics/ultralytics |
18,719 |
|
0 |
85 |
about 2 years ago |
270 |
December 08, 2023 |
664 |
agpl-3.0 |
Python |
| NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite |
| albumentations-team/albumentations |
12,998 |
|
64 |
273 |
over 2 years ago |
53 |
June 10, 2023 |
391 |
mit |
Python |
| Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 |
| 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 |
| satellite-image-deep-learning/techniques |
10,034 |
|
0 |
0 |
about 2 months ago |
0 |
|
2 |
apache-2.0 |
|
| Techniques for deep learning with satellite & aerial imagery |
| 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. |
| NirantK/awesome-project-ideas |
6,856 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
|
| Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas |
| dmlc/gluon-cv |
5,422 |
|
15 |
46 |
about 3 years ago |
1,535 |
February 03, 2023 |
61 |
apache-2.0 |
Python |
| Gluon CV Toolkit |
| humphd/have-fun-with-machine-learning |
4,912 |
|
0 |
0 |
over 4 years ago |
0 |
|
8 |
other |
Python |
| An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks |
| 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. |
