{"id":21269133,"url":"https://github.com/autuanliu/ml-docker-env","last_synced_at":"2026-05-17T13:34:41.544Z","repository":{"id":52422804,"uuid":"112212302","full_name":"AutuanLiu/ML-Docker-Env","owner":"AutuanLiu","description":":books::pineapple: This is my personal docker configure for machine learning and deep learning","archived":false,"fork":false,"pushed_at":"2021-04-29T19:03:55.000Z","size":59,"stargazers_count":1,"open_issues_count":2,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-15T11:49:53.468Z","etag":null,"topics":["deep-learning","docker","docker-image","dockerfile","machine-learning"],"latest_commit_sha":null,"homepage":"http://bit.ly/2Asn180","language":"Dockerfile","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AutuanLiu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-11-27T15:18:15.000Z","updated_at":"2019-01-04T07:44:38.000Z","dependencies_parsed_at":"2022-08-18T03:11:29.768Z","dependency_job_id":null,"html_url":"https://github.com/AutuanLiu/ML-Docker-Env","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/AutuanLiu/ML-Docker-Env","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AutuanLiu%2FML-Docker-Env","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AutuanLiu%2FML-Docker-Env/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AutuanLiu%2FML-Docker-Env/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AutuanLiu%2FML-Docker-Env/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AutuanLiu","download_url":"https://codeload.github.com/AutuanLiu/ML-Docker-Env/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AutuanLiu%2FML-Docker-Env/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33140549,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T09:28:26.183Z","status":"ssl_error","status_checked_at":"2026-05-17T09:27:52.702Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","docker","docker-image","dockerfile","machine-learning"],"created_at":"2024-11-21T08:07:27.183Z","updated_at":"2026-05-17T13:34:41.529Z","avatar_url":"https://github.com/AutuanLiu.png","language":"Dockerfile","funding_links":[],"categories":[],"sub_categories":[],"readme":"## machine learning Docker environment\n\n[![Docker Automated build](https://img.shields.io/docker/automated/jrottenberg/ffmpeg.svg?style=plastic)](https://hub.docker.com/u/autuanliu/)\n[![Ubuntu version](https://img.shields.io/badge/Ubuntu-16.04-green.svg?style=plastic)]()\n\n* CI info\n\nDocker tag | status\n--- | ---\nCPU | [![Build Status][1]][2]\nGPU | [![Build Status][1]][2]\n\nThis is a Docker configure for machine learning and deep learning. You can use the Dockerfile to build Docker image locally or \npull the image I have create from [Docker Hub](https://hub.docker.com/r/autuanliu/)\n\n1. [CPU Version](https://hub.docker.com/r/autuanliu/ml-docker-env-cpu/)\n2. [GPU Version](https://hub.docker.com/r/autuanliu/ml-docker-env-gpu/)\n\n### Pull the image\n\n1. from Docker hub\n    * CPU-Version\n        ```bash\n        docker pull autuanliu/ml-docker-env-cpu\n        ```\n    * GPU-Version\n        ```bash\n        docker pull autuanliu/ml-docker-env-gpu\n        ```\n2. from Aliyun\n    * CPU-Version\n        ```bash\n        docker pull registry.cn-hangzhou.aliyuncs.com/autuanliu/ml-env-cpu\n        ```\n    * GPU-Version\n        ```bash\n        docker pull registry.cn-hangzhou.aliyuncs.com/autuanliu/ml-env-gpu\n        ```\nfor more information about Docker, you can visit the website: [Docker - Build, Ship, and Run Any App, Anywhere](https://www.docker.com/)\n\n### what you can get\n\nwhen you create a container with the docker image, you can get:\n\n* Ubuntu 16.04\n* nano\n* tmux\n* Tensorflow \n* Pytorch\n* Keras\n* Anaconda\n* jupyter notebook\n* R language support\n* numpy\n* pandas\n* matplotlib\n* seaborn\n* pillow\n* Other useful Python libraries\n* Other useful R libraries for data science\n\nIf you want to add new modules of python or other libraries, you can modify the Dockerfile \ndirectly or submit a issue [here](https://github.com/AutuanLiu/ML-Docker-Env/issues)\n\n### Usage\n\n```bash\ndocker run -it --rm -p 8888:8888 -v your_host_work_dir:/home/autuanliu/sharef registry_name/image_name:tag\n```\n\n* Notes: \n1. TensorBoard port 6006 \n2. You do not have root privileges\n3. Share folder: /home/autuanliu/sharef/\n\n* here is an example \n\n[![asciicast](https://asciinema.org/a/koioQuPhCpyUKQcvdgQ3dlVjC.png)](http://bit.ly/usage-demo)\n\nfor more detail commands usage, you can visit the website: [Get Started, Part 1: Orientation and setup | Docker Documentation](https://docs.docker.com/get-started/)\n\n### About\n\nThese Docker images are used for learning and research related to data science and machine learning. You do not need to configure a complex environment on your computer. You need almost everything are all included in the images. All you need is `docker pull` and `docker run`.\n\n[Another repository](http://bit.ly/2jOp8uh) are created to submit my learning and research. It is about Machine learning, Neural Network, data science etc. You can run all code or jupyter-notes base on this Docker image.\n\n----\n\nIf you have any questions or suggestions about this reposity, you can submit your issues or email me. [autuanliu@163.com]\n\n\n[1]:https://travis-ci.org/AutuanLiu/ML-Docker-Env.svg?branch=master\n[2]:https://travis-ci.org/AutuanLiu/ML-Docker-Env\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautuanliu%2Fml-docker-env","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fautuanliu%2Fml-docker-env","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautuanliu%2Fml-docker-env/lists"}