We are building a collection of deep learning models. Check it out here.
Crowdsourced through contributions by the scientific research community, Modelhub is a repository of deep learning models pretrained for a wide variety of applications. Modelhub highlights recent trends in deep learning applications, enables transfer learning approaches and promotes reproducible science.
This repository is the index/registry of all models, and as such the point where all developments of the Modelhub Project come together.
Essential Information/Documentation:
Please refer to modelhub.readthedocs.io for the full documentation of the Modelhub project and infrastructure.
About Us:
We are the Computational Imaging and Bioinformatics Laboratory at the Harvard Medical School, Brigham and Women’s Hospital and Dana-Farber Cancer Institute. We are a data science lab focused on the development and application of novel Artificial Intelligence (AI) approaches to various types of medical data.
Release files for modelhub-ai 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modelhub-ai-0.0.6.tar.gz | 5.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modelhub_ai-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.1 kB
Release files / modelhub-ai-0.0.6.tar.gz
| Download URL | modelhub-ai-0.0.6.tar.gz |
|---|---|
| Size | 5.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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Release files / modelhub_ai-0.0.6-py3-none-any.whl
| Download URL | modelhub_ai-0.0.6-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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