sparse-ir-docker
SpM-lab / sparse-ir-docker
[Environment] Docker image including the sparse-ir libraries and their tutorials
Overview
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README
sparse-ir Docker Image
This builds the shinaoka/sparse-ir docker hub image which includes sparse-ir libraries and their tutotrials.
One can run a Jupyterlab environment as
docker run --rm -p 8888:8888 shinaoka/sparse-ir
, or can run a shell as
docker run --rm -ti shinaoka/sparse-ir bash
The Jupyter notebook will be accessible at http://localhost:8888, where you should pass the token provided on the command line.
If you want the state of the virtual machine to be stored, drop --rm from the commands above.
A summary of useful docker commands can be found here.
If you want to update the image and push it Docker Hub, use the following commands
docker build -t shinaoka/sparse-ir . --no-cache
docker push shinaoka/sparse-ir
Source: https://github.com/SpM-lab/sparse-ir-docker README
Richness
Richness = how many of docs / examples / tests are in place, shown as 0–3 stars (1 star = 1 item; the checklist below is the breakdown). Software listed by hand (without repository data) is not assessed and is left out when filtering by a richness of 1 or more.
- Yes: README
- Yes: LICENSE
- No: docs
- No: examples
- No: tests
- No: CITATION
- No: release
Information
- Primary language
- Dockerfile
- Languages
- Dockerfile
- License
- MIT
- Provider
- github