https://github.com/singnet/dnn-model-services
A collection of SingularityNET services using third party DNN models.
https://github.com/singnet/dnn-model-services
Last synced: 12 months ago
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A collection of SingularityNET services using third party DNN models.
- Host: GitHub
- URL: https://github.com/singnet/dnn-model-services
- Owner: singnet
- License: mit
- Created: 2018-08-08T16:33:59.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2023-05-22T21:39:03.000Z (about 3 years ago)
- Last Synced: 2024-11-22T23:32:05.571Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 14.2 MB
- Stars: 27
- Watchers: 8
- Forks: 19
- Open Issues: 31
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
[issue-template]: ../../issues/new?template=BUG_REPORT.md
[feature-template]: ../../issues/new?template=FEATURE_REQUEST.md
[](https://circleci.com/gh/singnet/dnn-model-services)
# Third Party Deep Neural Networks Model Services
A collection of services using third party DNN models.
[HTML User's Guide Hub](https://singnet.github.io/dnn-model-services/)
## Getting Started
For more details on how to publish and test a service, select it from the list below:
### Audio:
- [real-time-voice-cloning](services/real-time-voice-cloning) ([User's Guide](docs/users_guide/real-time-voice-cloning.md)) - This service uses Real-Time-Voice-Cloning to clone a voice from a 5 seconds audio file to generate arbitrary speech in real-time. [[Reference](https://github.com/CorentinJ/Real-Time-Voice-Cloning)]
- [sound-spleeter](services/sound-spleeter) ([User's Guide](docs/users_guide/sound-spleeter.md)) - This service uses Deezer's Spleeter to perform source separation on audio files. [[Reference](https://github.com/deezer/spleeter)]
```
@misc{spleeter2019,
title={Spleeter: A Fast And State-of-the Art Music Source Separation Tool With Pre-trained Models},
author={Romain Hennequin and Anis Khlif and Felix Voituret and Manuel Moussallam},
howpublished={Late-Breaking/Demo ISMIR 2019},
month={November},
note={Deezer Research},
year={2019}
}
```
### Images:
- [cntk-image-recon](services/cntk-image-recon) ([User's Guide](docs/users_guide/cntk-image-recon.md)) - This service uses ResNet152 model, trained to recognize different types of flowers and dog breeds. [[Reference](https://cntk.ai/pythondocs/CNTK_301_Image_Recognition_with_Deep_Transfer_Learning.html)]
- [deepfakes-faceswap](services/deepfakes-faceswap) ([User's Guide](docs/users_guide/deepfakes-faceswap.md)) - This service uses the Deepfakes Faceswap, trained on two input videos A and B, to perform face swapping on videos. [[Reference](https://github.com/deepfakes/faceswap)]
- [deoldify-colorizer](services/deoldify-colorizer) ([User's Guide](docs/users_guide/deoldify-colorizer.md)) - This service colorizes grayscale images using an AI model. [[Reference](https://github.com/jantic/DeOldify)]
- [yolov3-object-detection](services/yolov3-object-detection) ([User's Guide](docs/users_guide/yolov3-object-detection.md)) - This service uses YOLOv3 model to detect objects on images. [[Reference](https://pjreddie.com/darknet/yolo/)]
```
@article{yolov3,
title={YOLOv3: An Incremental Improvement},
author={Redmon, Joseph and Farhadi, Ali},
journal = {arXiv},
year={2018}
}
```
- [places365-scene-recognition](services/places365-scene-recognition) ([User's Guide](docs/users_guide/places365-scene-recognition.md)) - This service uses various convolutional neural networks trained on Places365 to perform scene recognition. [[Reference](https://github.com/CSAILVision/places365)]
```
@article{zhou2017places,
title={Places: A 10 million Image Database for Scene Recognition},
author={Zhou, Bolei and Lapedriza, Agata and Khosla, Aditya and Oliva, Aude and Torralba, Antonio},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2017},
publisher={IEEE}
}
```
- [pneumonia-diagnosis](services/pneumonia-diagnosis) ([User's Guide](docs/users_guide/pneumonia-diagnosis.md)) - This service uses VGG19 to classify X-ray chest images. Based on Alishba Imran's [work](https://github.com/alishbaimran/Pneumonia-Diagnosis-CNN-Model).
### Videos:
- [i3d-video-action-recognition](services/i3d-video-action-recognition) ([User's Guide](docs/users_guide/i3d-video-action-recognition.md)) - This service uses I3D model to recognize actions on videos (with 400 or 600 labels). [[Reference](https://github.com/deepmind/kinetics-i3d)]
- [s2vt-video-captioning](services/s2vt-video-captioning) ([User's Guide](docs/users_guide/s2vt-video-captioning.md)) - This service uses "Sequence to Sequence - Video to Text" to describe video content with natural language text. [[Reference](https://vsubhashini.github.io/s2vt.html)]
```
@inproceedings{venugopalan15iccv,
title = {Sequence to Sequence -- Video to Text},
author = {Venugopalan, Subhashini and Rohrbach, Marcus and Donahue, Jeff
and Mooney, Raymond and Darrell, Trevor and Saenko, Kate},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
year = {2015}
}
```
### Games:
- [zeta36-chess-alpha-zero](services/zeta36-chess-alpha-zero) ([User's Guide](docs/users_guide/zeta36-chess-alpha-zero.md)) - This service uses [AlphaGo Zero methods](https://deepmind.com/blog/alphago-zero-learning-scratch/)
to learn and play chess. [[Reference](https://github.com/Zeta36/chess-alpha-zero)]
## Contributing and Reporting Issues
Please read our [guidelines](https://dev.singularitynet.io/docs/contribute/contribution-guidelines/#submitting-an-issue) before submitting an issue. If your issue is a bug, please use the bug template pre-populated [here][issue-template]. For feature requests and queries you can use [this template][feature-template].
## Authors
* **Artur Gontijo** - *Maintainer* - [SingularityNET](https://www.singularitynet.io)
* **Ramon Durães** - *Maintainer* - [SingularityNET](https://www.singularitynet.io)
## Licenses
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
Each service is licensed as followed:
- cntk-image-recon - [MIT License](https://github.com/Microsoft/CNTK/blob/master/LICENSE.md)
- deepfakes-faceswap - [GPL-3.0](https://github.com/deepfakes/faceswap/blob/master/LICENSE)
- deoldify-colorizer - [MIT License](https://github.com/jantic/DeOldify/blob/master/LICENSE)
- i3d-video-action-recognition - [Apache License 2.0](https://github.com/deepmind/kinetics-i3d/blob/master/LICENSE)
- places365-scene-recognition - [MIT License](https://github.com/CSAILVision/places365/blob/master/LICENSE)
- pneumonia-diagnosis - [Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
- real-time-voice-cloning - [MIT License](https://github.com/CorentinJ/Real-Time-Voice-Cloning/blob/master/LICENSE.txt)
- s2vt-video-captioning - [Attribution 4.0 International (CC BY 4.0)](http://creativecommons.org/licenses/by/4.0/)
- sound-spleeter - [MIT License](https://github.com/deezer/spleeter/blob/master/LICENSE)
- yolov3-object-detection - [Public domain](https://github.com/pjreddie/darknet/blob/master/LICENSE)
- zeta36-chess-alpha-zero - [MIT License](https://github.com/Zeta36/chess-alpha-zero/blob/master/LICENSE.txt)