{"id":20446380,"url":"https://github.com/ray-project/scalable-learning","last_synced_at":"2025-07-10T18:35:11.518Z","repository":{"id":72979225,"uuid":"103328837","full_name":"ray-project/scalable-learning","owner":"ray-project","description":"Scaling multi-node multi-GPU workloads","archived":false,"fork":false,"pushed_at":"2017-09-13T00:24:39.000Z","size":6,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-05T08:45:51.344Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"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/ray-project.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":"2017-09-12T23:04:02.000Z","updated_at":"2023-09-21T13:02:36.000Z","dependencies_parsed_at":"2023-03-01T22:30:32.849Z","dependency_job_id":null,"html_url":"https://github.com/ray-project/scalable-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ray-project/scalable-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fscalable-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fscalable-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fscalable-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fscalable-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ray-project","download_url":"https://codeload.github.com/ray-project/scalable-learning/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fscalable-learning/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264631212,"owners_count":23640941,"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":[],"created_at":"2024-11-15T10:19:51.380Z","updated_at":"2025-07-10T18:35:11.486Z","avatar_url":"https://github.com/ray-project.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# scalable-learning\nScaling multi-node multi-GPU workloads\n\n\n## Installing Imagenet\n\nThe commands below assume Python is Python 2, so you may need to change the python invoked in the script if your default Python is Python 3\n\n    # Assuming we are starting in repository root\n    ROOT=\"$PWD\"\n    cd /tmp\n    git clone https://github.com/SaMnCo/dl-training-datasets\n    cd imagenet/ilsvrc14\n    ./00-build.sh \"$ROOT/data\"\n\nTODO: make own script for this, without the need for the user to specify Python 2.\n\n## Running pytorch example\n\n[https://github.com/pytorch/examples/tree/master/imagenet](Follow steps here).\n\nTODO: copy in relevant files\n\n## Dependencies\n\nTODO: make user-independent aws-magic analogue, pull in docker for pytorch.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fray-project%2Fscalable-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fray-project%2Fscalable-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fray-project%2Fscalable-learning/lists"}