This repository has been archived by the owner on Feb 20, 2024. It is now read-only.

nginyc / rafiki Public archive

Notifications You must be signed in to change notification settings
Fork 23
Star 36

Rafiki is a distributed system that supports training and deployment of machine learning models using AutoML, built with ease-of-use in mind.

Apache-2.0 license

36 stars 23 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 168 Commits
dockerfiles		dockerfiles
docs		docs
examples/models/image_classification		examples/models/image_classification
rafiki		rafiki
scripts		scripts
.dockerignore		.dockerignore
.env.sh		.env.sh
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
conf.py		conf.py
index.rst		index.rst

Repository files navigation

Rafiki

Rafiki is a distributed, scalable system that trains machine learning (ML) models and deploys trained models, built with ease-of-use in mind. To do so, it leverages on automated machine learning (AutoML).

Read Rafiki's full documentation at https://nginyc.github.io/rafiki/docs/.

Quickstart

Prerequisites: MacOS or Linux environment

Install Docker 18
Install Python 3.6
Setup Rafiki's complete stack with the init script:
```
bash scripts/start.sh
```
To destroy Rafiki's complete stack:
```
bash scripts/stop.sh
```

More instructions are available in Rafiki's developer guide.