modelscope/modelscope-classroom resource

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1482 stars · 180 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ModelScope Classroom is a collection of deep learning and large language model tutorials from the ModelScope community, delivered as Jupyter notebooks, markdown lessons, and technical blogs. It covers the full LLM lifecycle including training, inference, deployment, RLHF, agents, and AIGC (text-to-image/video) with hands-on examples.

Use cases

• learn how to fine-tune large language models
• tutorials for deploying LLMs with vLLM or llama.cpp
• learn RAG and agent development with hands-on notebooks
• understand diffusion models and text-to-image generation
• study RLHF techniques like PPO and GRPO
• beginner deep learning course with practical exercises
• find technical surveys on LLM research topics

When to choose

• you want structured, notebook-based tutorials for LLM training and deployment
• you prefer learning with runnable examples using tools like LLaMA-Factory, unsloth, and vLLM
• you want Chinese-language deep learning and AIGC course material
• you need curated technical surveys and daily paper digests

When to avoid

• you need production-ready software rather than educational content
• you require English-only documentation
• you want a maintained library with an API rather than tutorials

Facets

learning-resource · maturity active

machine-learning deep-learning llm-training llm-inference rag agent-framework stable-diffusion tutorials large-language-models deep-learning artificial-intelligence machine-learning python cross-platform jupyter-notebooks llm-tutorial aigc modelscope chinese-language course-materials

Member repositories

For agents

markdown · JSON · MCP: product_card(name="modelscope/modelscope-classroom")