https://github.com/stefan-it/deep-docker
https://github.com/stefan-it/deep-docker
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/stefan-it/deep-docker
- Owner: stefan-it
- Created: 2018-01-30T15:58:05.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-23T11:34:15.000Z (almost 6 years ago)
- Last Synced: 2025-02-08T09:46:53.012Z (4 months ago)
- Language: Dockerfile
- Size: 4.88 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# deep-docker
This repository contains various `Dockerfile`s for my deep learning research.
The built docker images can be started using [nvida-docker](https://github.com/NVIDIA/nvidia-docker).
The base image for all `Dockerfile`s is `nvidia/cuda`. The docker hub site can
be found [here](https://hub.docker.com/r/nvidia/cuda/).
## Building images and starting containers
To build any of the provided `Dockerfile`s go the relevant folder and execute:
```bash
docker build -t .
```
The image can be executed via `nvidia-docker`:
```bash
nvidia-docker run -it --rm
```
# Index
Currently, the following `Dockerfile`s exist:
## Keras
The `Dockerfile` for *Keras* uses *CUDA* in version 10.0 and *cudnn* in version
7. Thus, *TensorFlow* in version 1.8 can be used in combination with *Keras*.
Other useful libraries are also installed:
* `keras-contribu`
* `scikit-learn`
* `h5py`
* `gensim`
* `pandas`
## `pipenv`
The `Dockerfile` for `pipenv` and `pyenv` uses *CUDA* in version 10.0.
Here's a small `pyenv` example that installs Python 3.7:
```bash
root@5bc18bc97c62:/# pyenv install 3.7.0
Downloading Python-3.7.0.tar.xz...
-> https://www.python.org/ftp/python/3.7.0/Python-3.7.0.tar.xz
Installing Python-3.7.0...
Installed Python-3.7.0 to /.pyenv/versions/3.7.0
root@5bc18bc97c62:/# pyenv global 3.7.0
root@5bc18bc97c62:/# python --version
Python 3.7.0
```
## `pytorch`
The `Dockerfile` for `pytorch` 1.1.0 uses *CUDA* in version 10.1.