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Ludwig

Ludwig is the open-source declarative deep learning framework for training, fine-tuning, and deploying models across tabular, text, image, and audio data. No bo

Ludwig is the open-source declarative deep learning framework for training, fine-tuning, and deploying models across tabular, text, image, and audio data. No boilerplate. Scale from laptop to GPU cluster without changing a line.

Whois information

Domainludwig.ai
Registrar1API GmbH
Registrar ID1387
Created date2019-01-17 22:36:22 UTC
Expires date2028-01-17 22:36:22 UTC
Updated date2026-08-12 01:10:27 UTC
Domain statusclient transfer prohibited
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DNSSECunsigned
Registrant country🇺🇸 United States

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SEO audit

14 of 16 checks passed

89

SEO score

Response 251 ms · 129 KB

  • Served over HTTPS
  • Title tag present
  • Title length 30 to 60 charactersKeep the title between 30 and 60 characters.
  • Meta description present
  • Description length 70 to 160 charactersKeep the description between 70 and 160 characters.
  • Exactly one H1 heading
  • Uses H2 sub-headings
  • Canonical URL set
  • Mobile viewport tag
  • Language declared
  • Open Graph tags
  • Twitter card tags
  • Structured data (JSON-LD)
  • Images have alt text
  • At least 300 words of content
  • Responds in under 1.5 seconds
Title (72 characters)
Ludwig — Declarative Deep Learning Framework | Train Any Model with YAML
Description (228 characters)
Ludwig is the open-source declarative deep learning framework for training, fine-tuning, and deploying models across tabular, text, image, and audio data. No boilerplate. Scale from laptop to GPU cluster without changing a line.
Headings
1 H1, 10 H2, 9 H3
Words on page
3,536
Links
19 internal, 16 external
Structured data
SoftwareApplication, FAQPage

On-page keywords

PhraseMentions
features name66
type text42
input features33
input features name33
output features name33
ludwig train config31
type161
ludwig120

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About Ludwig

What is Ludwig?

Ludwig is the open-source declarative deep learning framework for training, fine-tuning, and deploying models across tabular, text, image, and audio data. No bo

What are the best Ludwig alternatives?

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