| fxsjy/jieba |
31,881 |
|
1,258 |
419 |
about 2 years ago |
32 |
January 20, 2020 |
667 |
mit |
Python |
| 结巴中文分词 |
| facebookresearch/detectron2 |
27,842 |
|
0 |
6 |
about 2 years ago |
2 |
February 06, 2020 |
463 |
apache-2.0 |
Python |
| Detectron2 is a platform for object detection, segmentation and other visual recognition tasks. |
| WZMIAOMIAO/deep-learning-for-image-processing |
18,759 |
|
0 |
0 |
over 2 years ago |
0 |
|
58 |
gpl-3.0 |
Python |
| deep learning for image processing including classification and object-detection etc. |
| aleju/imgaug |
13,682 |
|
278 |
141 |
over 2 years ago |
11 |
February 05, 2020 |
295 |
mit |
Python |
| Image augmentation for machine learning experiments. |
| 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 |
| PaddlePaddle/PaddleDetection |
11,653 |
|
0 |
1 |
over 2 years ago |
9 |
September 19, 2022 |
1,416 |
apache-2.0 |
Python |
| Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection. |
| lexfridman/mit-deep-learning |
9,897 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
Jupyter Notebook |
| Tutorials, assignments, and competitions for MIT Deep Learning related courses. |
| luanfujun/deep-photo-styletransfer |
9,803 |
|
0 |
0 |
over 4 years ago |
0 |
|
30 |
|
Matlab |
| Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511 |
| google/sentencepiece |
8,851 |
|
120 |
787 |
about 2 years ago |
34 |
May 02, 2023 |
32 |
apache-2.0 |
C++ |
| Unsupervised text tokenizer for Neural Network-based text generation. |
| qubvel/segmentation_models.pytorch |
8,226 |
|
2 |
49 |
over 2 years ago |
13 |
September 19, 2019 |
27 |
mit |
Python |
| Segmentation models with pretrained backbones. PyTorch. |
