{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"fuseml","owner":"fuseml","isFork":false,"description":"FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.","allTopics":["workflow","flexible","artificial-intelligence","mlflow","tekton","kfserving","kubernetes","machine-learning","ai","deep-learning","orchestration","choice","data-scientists","mlops","data-engineers","devops-engineers","automation-recipes"],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":1,"issueCount":67,"starsCount":81,"forksCount":7,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-12-02T14:57:27.730Z"}},{"type":"Public","name":"fuseml-core","owner":"fuseml","isFork":false,"description":"FuseML APIs and core service. This repo include the FuseML client useful to interact with the background services.","allTopics":["machine-learning","pipelines","artificial-intelligence","gitea","workloads","mlops","mlflow","tekton","workloads-distribution","mlops-community","go","kubernetes","cli","golang","goa","fuseml-apis"],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":4,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-11-19T09:15:28.273Z"}}],"repositoryCount":2,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}