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Cortex is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command. <br> | ||
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<!-- Delete on release branches --> | ||
<!-- CORTEX_VERSION_README_MINOR x1 --> | ||
[install](https://www.cortex.dev/install) • [docs](https://www.cortex.dev) • [examples](https://github.com/cortexlabs/cortex/tree/0.8/examples) • [we're hiring](https://angel.co/cortex-labs-inc/jobs) • [email us](mailto:[email protected]) • [chat with us](https://gitter.im/cortexlabs/cortex)<br><br> | ||
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<!-- Set header Cache-Control=no-cache on the S3 object metadata (see https://help.github.com/en/articles/about-anonymized-image-urls) --> | ||
![Demo](https://cortex-public.s3-us-west-2.amazonaws.com/demo/gif/v0.8.gif)<br> | ||
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### Step 1: Configure your deployment | ||
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<!-- CORTEX_VERSION_README_MINOR --> | ||
Define a `deployment` and an `api` resource. A `deployment` specifies a set of APIs that are deployed together. An `api` makes a model available as a web service that can serve real-time predictions. The configuration below will download the model from the `cortex-examples` S3 bucket. You can run the code that generated the model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.8/examples/text-generator/gpt-2.ipynb). | ||
Define a `deployment` and an `api` resource. A `deployment` specifies a set of APIs that are deployed together. An `api` makes a model available as a web service that can serve real-time predictions. The configuration below will download the model from the `cortex-examples` S3 bucket. You can run the code that generated the model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/text-generator/gpt-2.ipynb). | ||
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```yaml | ||
# cortex.yaml | ||
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## More examples | ||
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<!-- CORTEX_VERSION_README_MINOR x3 --> | ||
- [Iris classification](https://github.com/cortexlabs/cortex/tree/0.8/examples/iris-classifier) | ||
- [Iris classification](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier) | ||
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- [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.8/examples/sentiment-analysis) with BERT | ||
- [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.9/examples/sentiment-analysis) with BERT | ||
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- [Image classification](https://github.com/cortexlabs/cortex/tree/0.8/examples/image-classifier) with Inception v3 and AlexNet | ||
- [Image classification](https://github.com/cortexlabs/cortex/tree/0.9/examples/image-classifier) with Inception v3 and AlexNet | ||
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<br> | ||
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set -euo pipefail | ||
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CORTEX_VERSION=master | ||
CORTEX_VERSION=0.9.0 | ||
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image=$1 | ||
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* [Deploy machine learning models in production](../README.md) | ||
* [Install](cluster/install.md) | ||
* [GitHub](https://github.com/cortexlabs/cortex) | ||
* [Examples](https://github.com/cortexlabs/cortex/tree/master/examples) <!-- CORTEX_VERSION_MINOR --> | ||
* [Examples](https://github.com/cortexlabs/cortex/tree/0.9/examples) <!-- CORTEX_VERSION_MINOR --> | ||
* [We're hiring](https://angel.co/cortex-labs-inc/jobs) | ||
* [Email us](mailto:[email protected]) | ||
* [Chat with us](https://gitter.im/cortexlabs/cortex) | ||
|
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setup( | ||
name="cortex", | ||
version="master", # CORTEX_VERSION | ||
version="0.9.0", # CORTEX_VERSION | ||
description="", | ||
author="Cortex Labs", | ||
author_email="[email protected]", | ||
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