DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models. It functions as a system for managing large data artifacts by storing lightweight metadata in version control while keeping the actual binaries in a separate cache. The project serves as an experiment tracker and remote storage synchronizer, enabling the execution and comparison of machine learning iterations based on hyperparameters and performance metrics. It provides a bridge for pushing and pulling these large data artifacts between local environments and cloud or on-premi
CLI to sync labels between repositories on GitHub
Git-integrated backup tool for macOS and Linux devs.
Las características principales de alichtman/shallow-backup son: Backup Utilities, Project Documentation Examples, Shell Package Management, Control de versiones.
Las alternativas de código abierto para alichtman/shallow-backup incluyen: iterative/dvc — DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models.… activities/contributing-to-open-source. adamreeve/semver.net. agis-/git-style-guide — This project is a version control style guide and contribution standard. It provides formal specifications for… ai/size-limit — size-limit is a set of specialized tools for measuring JavaScript bundle sizes and enforcing performance budgets… abhijithvijayan/import-github-labels-cli — CLI to sync labels between repositories on GitHub.