Resource: curated awesome-list for NVIDIA NIM integrations
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Quiet
- Domain
- content, documentation
Research direction
Review the issue text and the linked awesome-list first. Confirm whether this repository has a documented location and contribution format for curated resources; done should mean the requested resource is clearly placed and its scope and maintenance expectations are agreed.
Written by the indexing model from the issue text.
Description
Hey everyone — I noticed there was no curated awesome-list for NVIDIA NIM so I built one. Covers 120+ models on the catalog, LangGraph/LangChain/LlamaIndex integrations, RAG pipelines, multi-agent workflows, and CLI tools. Would love contributions from people building with NIM:
https://github.com/DanielDeshmukh/awesome-nvidia-nim
- Dominant language
- Jupyter Notebook
- Stars
- 4.2k
- Forks
- 1.1k
- Avg merge
- 10h 15m
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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