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added dockerdl (#1029)

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* added dockerdl

Deep Learning Docker Image
Don't waste time setting up a deep learning env when you can get a deep learning environment with everything pre-installed.
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Muhammad Atif Ali 2022-11-02 20:10:58 +03:00 committed by GitHub
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@ -621,6 +621,7 @@ Services to securely store your Docker images.
- [Docker-sync](https://github.com/EugenMayer/docker-sync) - Drastically improves performance ([50-70x](https://github.com/EugenMayer/docker-sync/wiki/4.-Performance)) when using Docker for development on Mac OS X/Windows and Linux while sharing code to the container. By [@EugenMayer](https://github.com/EugenMayer) - [Docker-sync](https://github.com/EugenMayer/docker-sync) - Drastically improves performance ([50-70x](https://github.com/EugenMayer/docker-sync/wiki/4.-Performance)) when using Docker for development on Mac OS X/Windows and Linux while sharing code to the container. By [@EugenMayer](https://github.com/EugenMayer)
- [docker-vm](https://github.com/shyiko/docker-vm) - Simple and transparent alternative to boot2docker (backed by Vagrant) by [@shyiko](https://github.com/shyiko) - [docker-vm](https://github.com/shyiko/docker-vm) - Simple and transparent alternative to boot2docker (backed by Vagrant) by [@shyiko](https://github.com/shyiko)
- [DockerBuildManagement](https://github.com/DIPSAS/DockerBuildManagement) - Build Management is a python application, installed with pip. The application makes it easy to manage a build system based on Docker by configuring a single yaml file describing how to build, test, run or publish a containerized solution. - [DockerBuildManagement](https://github.com/DIPSAS/DockerBuildManagement) - Build Management is a python application, installed with pip. The application makes it easy to manage a build system based on Docker by configuring a single yaml file describing how to build, test, run or publish a containerized solution.
- [DockerDL](https://github.com/matifali/dockerdl) - Deep Learning Docker Images. Don't waste time setting up a deep learning env when you can get a deep learning environment with everything pre-installed.
- [Dusty](https://github.com/gamechanger/dusty) - Managed Docker development environments on OS X - [Dusty](https://github.com/gamechanger/dusty) - Managed Docker development environments on OS X
- [Eclipse Che](https://github.com/eclipse/che) - Developer workspace server with Docker runtimes, cloud IDE, next-generation Eclipse IDE - [Eclipse Che](https://github.com/eclipse/che) - Developer workspace server with Docker runtimes, cloud IDE, next-generation Eclipse IDE
- [EnvCLI](https://github.com/EnvCLI/EnvCLI) - Replace your local installation of Node, Go, ... with project-specific docker containers. By [@EnvCLI](https://github.com/EnvCLI) - [EnvCLI](https://github.com/EnvCLI/EnvCLI) - Replace your local installation of Node, Go, ... with project-specific docker containers. By [@EnvCLI](https://github.com/EnvCLI)