DVC

DVC

iterative.ai
+
+

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About

Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

About

Data Version Control (DVC) is an open source version control system tailored for data science and machine learning projects. It offers a Git-like experience to organize data, models, and experiments, enabling users to manage and version images, audio, video, and text files in storage, and to structure their machine learning modeling process into a reproducible workflow. DVC integrates seamlessly with existing software engineering tools, allowing teams to define any aspect of their machine learning projects, data and model versions, pipelines, and experiments, in human-readable metafiles. This approach facilitates the use of best practices and established engineering toolsets, reducing the gap between data science and software engineering. By leveraging Git, DVC enables versioning and sharing of entire machine learning projects, including source code, configurations, parameters, metrics, data assets, and processes, by committing DVC metafiles as placeholders.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data scientists, AI, and machine learning developers

Audience

Machine learning engineers wanting a tool to implement version control, reproducibility, and efficient collaboration in their projects

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/machine-learning/

Company Information

iterative.ai
Founded: 2018
United States
dvc.org

Alternatives

Alternatives

Categories

AI Development Supported
AI Governance Supported
AI Infrastructure Supported
Data Labeling Supported
Machine Learning Supported

Categories

Data Labeling Features

Human-in-the-loop Supported
Labeling Automation Supported
Labeling Quality Supported
Performance Tracking Supported
Polygon, Rectangle, Line, Point Supported
SDK Supported
Supports Audio Files Supported
Task Management Supported
Team Collaboration Supported
Training Data Management Supported

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Not Supported
Templates Not Supported
Visualization Not Supported

Integrations

Visual Studio Code Supported
APERIO DataWise Supported
Azure AI Search Supported
Azure Container Registry Supported
Azure Database for MariaDB Supported
Azure Kinect DK Supported
Azure Marketplace Supported
Azure Percept Supported
BotCore Supported
Evvox Supported
Git Not Supported
Kedro Supported
MLflow Supported
Microsoft Azure Supported
ModelOp Supported
NVIDIA Triton Inference Server Supported
New Relic Supported
Omnisient Supported
Slingshot Supported
Superwise Supported

Integrations

Visual Studio Code Supported
APERIO DataWise Not Supported
Azure AI Search Not Supported
Azure Container Registry Not Supported
Azure Database for MariaDB Not Supported
Azure Kinect DK Not Supported
Azure Marketplace Not Supported
Azure Percept Not Supported
BotCore Not Supported
Evvox Not Supported
Git Supported
Kedro Not Supported
MLflow Not Supported
Microsoft Azure Not Supported
ModelOp Not Supported
NVIDIA Triton Inference Server Not Supported
New Relic Not Supported
Omnisient Not Supported
Slingshot Not Supported
Superwise Not Supported
Claim Azure Machine Learning and update features and information
Claim Azure Machine Learning and update features and information
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Claim DVC and update features and information