🚀 New Release! Track and visualize DVC experiment metrics in real-time with Iterative Studio.

by iterative.ai

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Track experiments and share insights from ML projects
DVC
Open-source version control system for ML projects
VS Code Extension
Local ML model development and experiment tracking
CML
Open-source CI/CD for ML projects
MLEM
Open-source model registry and deployment tool for ML projects
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by iterative.ai

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Home Install

macOS Windows Linux Visual Studio Code Pre-release Version Shell Completion IDE Plugins

Get Started

Data Management

Data Versioning Data Pipelines Metrics, Parameters, and Plots

Experiment Management

Experiment Tracking Collaborating on Experiments Experimenting Using Pipelines

Use Cases

Versioning Data and Models

Tutorial 👩‍💻

CI/CD for Machine Learning Fast and Secure Data Caching Hub Experiment Tracking Model Registry Data Registry

Tutorial 👩‍💻

User Guide

Project Structure

dvc.yaml Files .dvc Files .dvcignore Files Configuration Internal Files

Data Management

Remote Storage

Amazon S3 Azure Blob Storage Google Cloud Storage Google Drive Aliyun OSS SSH & SFTP HDFS & WebHDFS HTTP WebDAV

Cloud Versioning Discovering and Accessing Data Importing External Data Managing External Data Large Dataset Optimization

Pipelines

Defining Pipelines Running Pipelines Run Cache

Experiment Management

Running Experiments Hydra Composition Comparing Experiments Visualizing Plots Sharing Experiments Persisting Experiments Cleaning Experiments Checkpoints

How To

Run DVC on Windows Stop Tracking Data Update Tracked Data Add Deps or Outs to a Stage Resolve Merge Conflicts Share a DVC Cache

Troubleshooting Anonymized Usage Analytics Glossary

Command Reference

add cache dir check-ignore checkout commit config dag data status destroy diff doctor exp

exp apply exp branch exp clean exp diff exp list exp pull exp push exp remove exp run exp save exp show

fetch freeze gc get-url get import-url import init install list-url list metrics

metrics show metrics diff

move params

params diff

plots

plots show plots diff plots modify plots templates

pull push queue

queue start queue stop queue status queue logs queue remove queue kill

remote

remote add remote modify remote default remote list remote remove remote rename

remove repro root stage

stage add stage list

status unfreeze unprotect update version

Python API Reference

DVCFileSystem exp_show()get_url()make_checkpoint()metrics_show()open()params_show()read()scm

Contributing

DVC Core Project Docs and Website

Changelog VS Code Extension Studio

Get Started User Guide

Projects and Experiments

What Is a Project Create a Project Configure a Project Explore ML Experiments Visualize and Compare Run Experiments Live Metrics and Plots Share a Project

Model Registry

What is a Model Registry Add a Model Register Version Assign Stage View and Compare Models Use Models

Team Collaboration

Teams Change Team Plan and Size

Account Management Billing and Payment Install Github App Connect Custom Gitlab Server

Troubleshooting Self Hosting

Installation

AWS AMI Kubernetes (Helm)

Configuration

TLS certificates CA certificates Git Forges

GitHub GitLab Bitbucket

Troubleshooting

502 Service Unavailable Providing data to our support

DVCLive

How it Works API Reference

end()log_artifact()log_image()log_metric()log_param()log_params()log_plot()log_sklearn_plot()make_dvcyaml()make_report()make_summary()next_step()

ML Frameworks

Catalyst Fast.ai Hugging Face Keras LightGBM MMCV Optuna PyTorch PyTorch Lightning TensorFlow XGBoost

Environment Variables

Edit on GitHub

ML Frameworks

We currently support the following ML Frameworks:

Catalyst
Fast.ai
Hugging Face
Keras
LightGBM
MMCV
Optuna
PyTorch
PyTorch Lightning
TensorFlow
XGBoost

The DVCLive team is happy to extend the list with more ML Frameworks as needed. Check the existing issues or create a new issue to start a discussion!

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🐛 Found an issue? Let us know! Or fix it:

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