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https://github.com/ai4os/DEEPaaS
A REST API to serve machine learning and deep learning models
https://github.com/ai4os/DEEPaaS
aiohttp artificial-intelligence data-science deep-hybrid-datacloud deep-learning deepaas-api h2020 http machine-learning machinelearning neural-network neural-networks rest-api restful-api
Last synced: about 2 months ago
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A REST API to serve machine learning and deep learning models
- Host: GitHub
- URL: https://github.com/ai4os/DEEPaaS
- Owner: ai4os
- License: apache-2.0
- Created: 2018-05-28T17:32:58.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-03-26T12:58:58.000Z (6 months ago)
- Last Synced: 2024-04-10T06:10:38.073Z (5 months ago)
- Topics: aiohttp, artificial-intelligence, data-science, deep-hybrid-datacloud, deep-learning, deepaas-api, h2020, http, machine-learning, machinelearning, neural-network, neural-networks, rest-api, restful-api
- Language: Python
- Homepage: https://deepaas.readthedocs.io
- Size: 2.77 MB
- Stars: 34
- Watchers: 8
- Forks: 14
- Open Issues: 19
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# DEEPaaS
[](https://fair-software.eu)
[](https://www.bestpractices.dev/projects/9063)
[](https://github.com/indigo-dc/DEEPaaS/blob/master/LICENSE)
[](https://github.com/indigo-dc/DEEPaaS/releases)
[](https://pypi.python.org/pypi/deepaas)
[](https://pypi.python.org/pypi/deepaas)
[](https://jenkins.services.ai4os.eu/job/AI4OS/job/DEEPaaS/job/master/)
[](https://deepaas.readthedocs.io/en/latest/)
[](https://doi.org/10.21105/joss.01517)
[](https://zenodo.org/doi/10.5281/zenodo.1544377)
DEEP as a Service API (DEEPaaS API) is a REST API built on
[aiohttp](https://docs.aiohttp.org/) that allows to provide easy access to
machine learning, deep learning and artificial intelligence models. By using
the DEEPaaS API users can easily run a REST API in front of their model, thus
accessing its functionality via HTTP calls. DEEPaaS API leverages the [OpenAPI
specification](https://github.com/OAI/OpenAPI-Specification).
# Documentation
The DEEPaaS documentation is hosted on [Read the Docs](https://deepaas.readthedocs.io/).
## Quickstart
The best way to quickly try the DEEPaaS API is through:
make run
This command will install a virtualenv (in the `virtualenv` directory) with
DEEPaaS and all its dependencies and will run the DEEPaaS REST API, listening
on `127.0.0.1:5000`. If you browse to `http://127.0.0.1:5000` you will get the
Swagger documentation page (i.e. the Swagger web UI).
### Develop mode
If you want to run the code in develop mode (i.e. `pip install -e`), you can
issue the following command before:
make develop
# Citing
[](https://doi.org/10.21105/joss.01517)
If you are using this software and want to cite it in any work, please use the
following:
> Lopez Garcia, A. "DEEPaaS API: a REST API for Machine Learning and
> Deep Learning models". In: _Journal of Open Source Software_ 4(42) (2019),
> pp. 1517. ISSN: 2475-9066. DOI: [10.21105/joss.01517](https://doi.org/10.21105/joss.01517)
You can also use the following BibTeX entry:
@article{Lopez2019DEEPaaS,
journal = {Journal of Open Source Software},
doi = {10.21105/joss.01517},
issn = {2475-9066},
number = {42},
publisher = {The Open Journal},
title = {DEEPaaS API: a REST API for Machine Learning and Deep Learning models},
url = {http://dx.doi.org/10.21105/joss.01517},
volume = {4},
author = {L{\'o}pez Garc{\'i}a, {\'A}lvaro},
pages = {1517},
date = {2019-10-25},
year = {2019},
month = {10},
day = {25},}
# Acknowledgements
This software has been developed within the DEEP-Hybrid-DataCloud (Designing
and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud)
project that has received funding from the European Union's Horizon 2020
research and innovation programme under grant agreement No 777435.