DVC AI
Open SourceGit-based version control for data, models, and machine learning workflows.
工具信息
什么是 DVC AI？
DVC AI is an open-source Git extension for organizing, versioning, reproducing, and collaborating on data science and machine learning projects. It helps teams manage datasets, models, pipelines, metrics, parameters, and experiments through a Git-like workflow.
核心功能
Data and model versioning
Track datasets and machine learning models alongside code, then create and switch between their versions.
Data pipelines
Define pipelines with dependencies and outputs to help reproduce how datasets and machine learning artifacts were created.
Experiment management
Manage parameters, track experiments, compare metrics, use experiment queues, and share experiments.
Data and artifact storage
Use data management and remote storage workflows for datasets and machine learning artifacts.
Metrics and plots
Track, compare, and visualize metrics and plots across experiments.
VS Code extension
Use DVC through an extension for Visual Studio Code.
Python API
Access DVC filesystems, artifacts, metrics, parameters, and source-control functionality through a Python API.
使用场景
- #1
Version datasets and models
Track data and machine learning models alongside code and switch between their versions.
- #2
Build reproducible workflows
Define data pipelines and understand how datasets and machine learning artifacts were produced.
- #3
Compare experiments
Compare model metrics across experiments and visualize experiment plots.
- #4
Manage small machine learning projects
Apply Git-like data version control to small data science projects with minimal overhead.
定价方案
The official site describes DVC as free and open source.
替代工具
常见问题
What is DVC AI?
Is DVC AI free?
What operating systems does DVC support?
Can DVC version machine learning models and datasets?
Does DVC support experiment tracking?
Does DVC work with cloud storage?
Who is DVC designed for?
DVC AI 联系方式与社交媒体
- 支持邮箱
- 支持
- 网站：
- Twitter
- GitHub