Off-the-shelf models for a variety of domains.
Ivy Libraries
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Citation
@article{lenton2021ivy,
title={Ivy: Unified Machine Learning for Inter-Framework Portability},
author={Lenton, Daniel and Pardo, Fabio and Falck, Fabian and James, Stephen and Clark, Ronald},
journal={arXiv preprint arXiv:2102.02886},
year={2021}
}
Metadata
Release files for ivy-models 1.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ivy-models-1.1.9.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ivy_models-1.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.6 kB
Release files / ivy-models-1.1.9.tar.gz
| Download URL | ivy-models-1.1.9.tar.gz |
|---|---|
| Size | 11.1 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/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
|
Release files / ivy_models-1.1.9-py3-none-any.whl
| Download URL | ivy_models-1.1.9-py3-none-any.whl |
|---|---|
| Size | 9.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
|