Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
ACV
✅(Completed) Super comprehensive deep learning notes [Mound Pytorch] [Li Mu hands-on learning of deep learning] [Ng Enda deep learning] [Dafei Big Model Agent]
Dlearn-from-materials
Turn PDFs, books and papers into interactive learning webpages|Convert complex materials into traceable, testable, and note-taking learning webpages
Popularity
Repository stars24,191Highest1,207
7-day net stars——
Fork2,667Highest110
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-202026-10-19
Maintenance notesNot verifiedNot verified
Repository created2022-03-312026-09-08
License & use
LicenseLicense not declaredMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeBooks and papers · Retrieval-augmented generationAgent skill extensions · Books and papers · Knowledge bases
TypeGuides & collectionsGuides & collections
SubcategoryBooks & reference materialBooks & reference material
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookPython
About this project✅(Completed) Super comprehensive deep learning notes [Mound Pytorch] [Li Mu hands-on learning of deep learning] [Ng Enda deep learning] [Dafei Big Model Agent]Turn PDFs, books and papers into interactive learning webpages|Convert complex materials into traceable, testable, and note-taking learning webpages
Measured at2026-11-02 19:02 UTC2026-11-02 18:59 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.