fake-news
fastMONAI
| fake-news | fastMONAI | |
|---|---|---|
| 1 | 1 | |
| 130 | 91 | |
| - | - | |
| 4.1 | 8.1 | |
| over 3 years ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fake-news
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Building an End-to-End Machine Learning Application From Idea to Deployment
Hi I had the same issue I think code for EDA part is in https://github.com/mihail911/fake-news/blob/master/notebooks/data_analysis.ipynb
fastMONAI
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fastMONAI: a low-code deep learning library for medical image analysis
We have released version 0.1 of fastMONAI, a low-code Python-based deep learning library for medical imaging built on top of fastai, MONAI, and TorchIO. We created the library to simplify the use of state-of-the-art deep learning techniques in 3D medical image analysis for solving classification, regression, and segmentation tasks. The entire library is written using nbdev, a tool for exploratory programming that allows you to write, test, and document a Python library in Jupyter Notebooks. You can install the library using pip and download the tutorial notebooks here: https://github.com/MMIV-ML/fastMONAI. If you decide to try it out and discover any issues, please don’t hesitate to reach out!
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