Install Instructions | Documentation (Stable | Latest)
AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on image, text, time series, and tabular data.
Visit auto.gluon.ai for more information.
framework
- base framework image - contains AutoGluon, runtimes and necessary dependenciesjupyter
- image with a jupyter notebook available
0.8.2-cpu-framework-ubuntu20.04-py3.9
^ ^ ^ ^ ^
| | type | python version
| | |
| | |
| | |
| CPU type linux version
|
AutoGluon version
0.8.2-cuda11.7-jupyter-ubuntu20.04-py3.9
^ ^ ^ ^ ^
| | type | python version
| | |
| cuda version |
| |
| linux version
|
AutoGluon version
Start Container and Notebook Server with GPU support
$ docker pull autogluon/autogluon:0.8.2-cuda11.7-jupyter-ubuntu20.04-py3.9
$ docker run --gpus all --shm-size=1G --rm -it -p 8888:8888 \
autogluon/autogluon:0.8.2-cuda11.7-jupyter-ubuntu20.04-py3.9
Start Container and Notebook Server with CPU-only support
$ docker pull autogluon/autogluon:0.8.2-cpu-jupyter-ubuntu20.04-py3.9
$ docker run --rm --shm-size=1G -it -p 8888:8888 \
autogluon/autogluon:0.8.2-cpu-jupyter-ubuntu20.04-py3.9