Rapique
[IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Decord | 1,368 |  | 33 | 7 months ago | 24 | June 14, 2021 | 142 | apache-2.0 | C++ | |
| An efficient video loader for deep learning with smart shuffling that's super easy to digest | ||||||||||
| Pipeless | 534 |  | 2 | 3 months ago | 20 | November 02, 2023 | 8 | apache-2.0 | Rust | |
| An open-source computer vision framework to build and deploy apps in minutes | ||||||||||
| Video_pipe_c | 181 | 3 months ago | 2 | C++ | ||||||
| a plugin-oriented framework for video structured. 国产程序员请加微信zhzhi78拉群交流，觉得有帮助的请给个星星：）。 | ||||||||||
| Musicoder | 134 | 3 years ago | other | Python | ||||||
| :musical_score:基于深度学习的轻量化音乐质感转换系统 | ||||||||||
| Ubuntu Setup Scripts | 110 | 2 years ago | 5 | apache-2.0 | Shell | |||||
| Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI! | ||||||||||
| Dokai | 95 | 4 months ago | mit | NASL | ||||||
| Collection of Docker images for ML/DL and video processing projects | ||||||||||
| Pydiogment | 68 | 2 years ago | 4 | March 08, 2020 | 11 | bsd-3-clause | Python | |||
| :mega: Python library for audio augmentation | ||||||||||
| Video_generator | 63 | 7 years ago | mit | Jupyter Notebook | ||||||
| This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation. | ||||||||||
| Rapique | 37 | 2 years ago | mit | MATLAB | ||||||
| [IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik | ||||||||||
| Unsupervised 2017 Cvprw | 25 | 6 years ago | 2 | mit | Python | |||||
| Disentangling Motion, Foreground and Background Features in Videos | ||||||||||
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