{"id":22242244,"url":"https://github.com/shawonashraf/mlcontainers","last_synced_at":"2025-08-19T19:18:14.480Z","repository":{"id":266160572,"uuid":"897573826","full_name":"ShawonAshraf/mlcontainers","owner":"ShawonAshraf","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-17T04:00:51.000Z","size":30,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-25T10:31:54.916Z","etag":null,"topics":["devcontainers","docker","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Dockerfile","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ShawonAshraf.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-02T21:33:30.000Z","updated_at":"2025-03-17T04:00:54.000Z","dependencies_parsed_at":null,"dependency_job_id":"25ed396c-44a6-40cf-a9b3-bc9fe7f2f2c3","html_url":"https://github.com/ShawonAshraf/mlcontainers","commit_stats":null,"previous_names":["shawonashraf/mlcontainers"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ShawonAshraf/mlcontainers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShawonAshraf%2Fmlcontainers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShawonAshraf%2Fmlcontainers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShawonAshraf%2Fmlcontainers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShawonAshraf%2Fmlcontainers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ShawonAshraf","download_url":"https://codeload.github.com/ShawonAshraf/mlcontainers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShawonAshraf%2Fmlcontainers/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259595559,"owners_count":22881864,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["devcontainers","docker","pytorch"],"created_at":"2024-12-03T04:15:06.782Z","updated_at":"2025-06-13T06:36:46.753Z","avatar_url":"https://github.com/ShawonAshraf.png","language":"Dockerfile","funding_links":[],"categories":[],"sub_categories":[],"readme":"# mlcontainers\n\nA collection of devcontainer configurations I usually use for my deep learning / machine learning projects.\n\n## usage\n\n\u003e [!IMPORTANT]\n\u003e For GPU passthrough to work in some configurations, you'll need to install\n\u003e the `nvidia-container-toolkit` first. Please refer to the official [docs](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).\n\nInstall the `devcontainer-cli` via `npm`\n\n```bash\nnpm install -g @devcontainers/cli\n# you may have to use sudo in some linux distros\n# especially if npm installed as a system package\n```\n\nThen run the configuration you want by\n\n```bash\ndevcontainer up --workspace-folder \u003cpath-to-configuration\u003e\n\n# example\ndevcontainer up --workspace-folder ./torch-uv\n```\n\nIf you only wish to build a devcontainer to run it later,\n\n```bash\ndevcontainer build --workspace-folder \u003cpath-to-configuration\u003e\n\n# example\ndevcontainer build --workspace-folder ./jax-uv\n```\n\n\u003e [!IMPORTANT]\n\u003e These configurations are for Nvidia GPUs and x86_64 based systems.\n\u003e Besides, GPU passthrough isn't there for macOS/Asahi Linux running Apple Silicon yet.\n\nOnce up and running, you can connect to the devcontainer through VS Code or Jetbrains IDEs (these are the ones I use actually!).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshawonashraf%2Fmlcontainers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshawonashraf%2Fmlcontainers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshawonashraf%2Fmlcontainers/lists"}