✅(Completed) Super comprehensive deep learning notes [Mound Pytorch] [Li Mu hands-on learning of deep learning] [Ng Enda deep learning] [Dafei Big Model Agent]
Author description: 🧑🚀 Summary of the world's best LLM resources (multimodal generation, Agent, auxiliary programming, AI review, data processing, model training, model inference, o1 model, MCP, small language model, visual language model) | Summary of the world's best LLM resources.
Popularity
Repository stars24,191Highest9,066
7-day net stars——
Fork2,667Highest1,040
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-202026-11-01
Maintenance notesNot verifiedNot verified
Repository created2022-03-312024-04-19
License & use
LicenseLicense not declaredApache-2.0 · Permissive
Browse by purposeBooks and papers · Retrieval-augmented generationAwesome lists · Books and papers · Retrieval-augmented generation
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 Notebook—
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]Author description: 🧑🚀 Summary of the world's best LLM resources (multimodal generation, Agent, auxiliary programming, AI review, data processing, model training, model inference, o1 model, MCP, small language model, visual language model) | Summary of the world's best LLM resources.
Measured at2026-11-02 19:02 UTC2026-11-03 08:26 UTC
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