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Welcome to DagsHubâs Data Pipeline contribution project for Hacktoberfest 2023!
In this exciting Hacktoberfest challenge, DagsHub invites you to build data pipelines using DVC for automation and versioning of Open Source Machine Learning projects.
DagsHub is a centralized platform to host and manage machine learning projects including code, data, models, experiments, annotations, model registry, and more! DagsHub does the MLOps heavy lifting for its users. Every repository comes with configured S3 storage, an experiment tracking server, and an annotation workspace - all using popular open-source tools like MLflow, DVC, Git, and Label Studio.
DagsHub is excited to introduce the DVC Data Pipeline Contribution Challenge. In this challenge, we invite you to contribute DVC (Data Version Control) data pipelines to open-source projects on DagsHub. DVC pipelines are essential for efficiently managing, versioning, and sharing data workflows in machine learning and data science projects.
Here's a step-by-step guide to get involved in this challenge:
dvc
,data-pipeline
, hacktoberfest
, and hacktoberfest-2023
 labels to the DagsHub repository.README.md
, dvc.yaml
and dvc.lock
files and a link to the DagsHub repo.Participating in the DagsHub DVC Data Pipeline Contribution Challenge offers numerous benefits:
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