Octopod
Train multi-task image, text, or ensemble (image + text) models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Uncertainty Baselines | 1,324 | 5 months ago | 6 | July 27, 2020 | 120 | apache-2.0 | Python | |||
| High-quality implementations of standard and SOTA methods on a variety of tasks. | ||||||||||
| Autodl | 999 | 2 years ago | 2 | May 18, 2020 | 23 | apache-2.0 | Python | |||
| Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS. | ||||||||||
| Pba | 400 | 5 years ago | 9 | apache-2.0 | Jupyter Notebook | |||||
| Efficient Learning of Augmentation Policy Schedules | ||||||||||
| Histogan | 50 | 3 years ago | gpl-3.0 | Python | ||||||
| Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019. | ||||||||||
| Octopod | 45 | a year ago | 22 | March 18, 2022 | 5 | bsd-3-clause | Jupyter Notebook | |||
| Train multi-task image, text, or ensemble (image + text) models | ||||||||||
| Kaggle Quickdraw Doodle Recognition Challenge | 9 | 6 years ago | Jupyter Notebook | |||||||
| Kaggle Dsg Qualification | 6 | 8 years ago | 1 | mit | Python | |||||
| Data Science Game 2016 Qualification Round Solution | ||||||||||
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