https://github.com/hamelsmu/docker-gpu
Dockerfile for deep learning on GPUs
https://github.com/hamelsmu/docker-gpu
deep-learning docker dockerhub gpu keras machine-learning nvidia-docker nvidia-gpu pytorch tensorflow
Last synced: 3 months ago
JSON representation
Dockerfile for deep learning on GPUs
- Host: GitHub
- URL: https://github.com/hamelsmu/docker-gpu
- Owner: hamelsmu
- License: mit
- Created: 2018-02-07T04:39:13.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-08-10T00:43:55.000Z (about 7 years ago)
- Last Synced: 2025-03-10T16:53:17.991Z (7 months ago)
- Topics: deep-learning, docker, dockerhub, gpu, keras, machine-learning, nvidia-docker, nvidia-gpu, pytorch, tensorflow
- Language: Shell
- Homepage: https://hub.docker.com/r/hamelsmu/ml-gpu/
- Size: 28.3 KB
- Stars: 10
- Watchers: 2
- Forks: 7
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://github.com/hamelsmu/docker-gpu/blob/master/LICENSE)


### Docker image for machine learning on GPUs (deep learning)
This repo is linked to the DockerHub repo: [hamelsmu/ml-gpu](https://hub.docker.com/r/hamelsmu/ml-gpu/). Any changes to this repository will automatically trigger a new build of the docker image on DockerHub.
- **Some Notes About This Docker Image**
- Built using [nvidia-docker](https://github.com/NVIDIA/nvidia-docker)
- [Helper scripts](https://github.com/hamelsmu/docker-gpu/tree/master/gpu) commands to run containers.### Useful commands to remember:
See all running containers:
`docker ps -a -f status=running`
Run terminal attached to a running container:
`docker exec -it bash`
Save state of container
`docker commit new_image_name:tag_name(optional)`
**More Resources**
See [this tutorial](https://towardsdatascience.com/how-docker-can-help-you-become-a-more-effective-data-scientist-7fc048ef91d5)