DVC

DVC

iterative.ai
+
+

Related Products

  • Vertex AI
    783 Ratings
    Visit Website
  • RunPod
    180 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • OORT DataHub
    13 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • LM-Kit.NET
    23 Ratings
    Visit Website
  • StackAI
    42 Ratings
    Visit Website
  • Sage Intacct
    7,410 Ratings
    Visit Website
  • DataHub
    8 Ratings
    Visit Website
  • Sage Supply Chain Intelligence
    70 Ratings
    Visit Website

About

Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning engineers, data scientists, and organizations seeking to develop, deploy, and scale AI solutions efficiently and securely

Audience

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/

Company Information

iterative.ai
Founded: 2018
United States
dvc.org

Alternatives

Vertex AI

Vertex AI

Google

Alternatives

Categories

Categories

Data Labeling Features

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

Integrations

APERIO DataWise
AWS IoT
Akira AI
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn1 Instances
Amazon Nova Forge
Amazon SageMaker Feature Store
Amazon SageMaker Unified Studio
CognitiveScale Cortex AI
DataHub
Git
Micromerce
Pinecone Rerank v0
Pipeshift
PromptX
Taipy
TruEra
Union Cloud

Integrations

APERIO DataWise
AWS IoT
Akira AI
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn1 Instances
Amazon Nova Forge
Amazon SageMaker Feature Store
Amazon SageMaker Unified Studio
CognitiveScale Cortex AI
DataHub
Git
Micromerce
Pinecone Rerank v0
Pipeshift
PromptX
Taipy
TruEra
Union Cloud
Claim Amazon SageMaker and update features and information
Claim Amazon SageMaker and update features and information
Claim DVC and update features and information
Claim DVC and update features and information