Technology
Catalyst PyTorch Framework
Last fetched
Catalyst PyTorch Framework is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under machine learning, with a published adopter count of 24 hostnames.
Profile
- Category
- machine learning
- Broader grouping
- software development
- Published adopter count
- 24
- Vendor
- catalyst-team.com
Catalyst PyTorch Framework is an open-source deep learning framework built on PyTorch that simplifies training, experimentation, and reproducible machine learning workflows. It provides reusable components for model training, experiment management, distributed training, and research, helping developers build and scale deep learning projects more efficiently.
Vendor site: https://catalyst-team.com
Sample adopters
20 hostnames WhisperGraph observed running Catalyst PyTorch Framework, a sample of the 24 published adopters.
Related pages
Pivot from Catalyst PyTorch Framework into its category and the vendor behind it.
Queries
Resolves the slug's technology-name candidate(s) and projects the winner's fields.
MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
winner.description AS description,
winner.category AS category,
winner.parentCategories AS parentCategories,
winner.adopterCount AS adopterCount,
winner.url AS url,
winner.vendorApex AS vendorApex,
candidatesRun yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.