Serverless Machine Learning

About

Serverless Machine Learning helps ML practioners deploy ML models into production without managing servers.

Serverless Machine Learning uses serverless framework and serverless-python-requirements (serverless plugin) to deploy ML models onto AWS using serverless architectures (i.e. AWS Lambda).

ML Models

Serverless Machine Learning implements the following ML models:

1. Serverless Tensorflow
2. Serverless Keras (coming soon)
3. Serverless Transformers (coming soon)

Usage

To use Serverless Machine Learning, complete the following steps:

1. Install Serverless Framework. To get started, refer to official docs
2. Setup AWS IAM Permissions. To get started, read: The ABCs of IAM: Managing permissions with Serverless

Provider Support

1. AWS
2. GCP (coming soon)
3. Cloudflare Workers (coming soon)

Runtime Support

1. Python 3.7 (release date: June 27, 2018)
2. Python 3.8 (coming soon)