GitPop

AI & Machine Learning projects

LLMs, agents, inference runtimes, vector databases, and ML tooling — projects pushing the AI frontier.

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Top 3 in AI & Machine Learning

PopScore over the last 7 day(s)

  • 1

    milvus-io/milvus

    A cloud-native vector database, storage for next-gen AI applications.

    SlowingEnterprise
    Pop
    0
    Go#vector-search#ai#similarity
    30.4k2.8k
  • 2

    ollama/ollama

    Get up and running with large language models locally.

    SlowingEnterprise
    Pop
    0
    Go#llm#ai#local
    89.5k6.8k
    AIOne-binary local LLM runner with a simple `ollama run` UX and broad model support.expand
    One-binary local LLM runner with a simple `ollama run` UX and broad model support.
  • 3

    weaviate/weaviate

    Weaviate is an open-source vector database.

    SlowingMature
    Pop
    0
    Go#vector-search#ai#semantic-search
    11.4k720

How GitPop ranks projects

Read the full methodology
What is PopScore?
A 0–100 score combining star velocity (35%), fork engagement (20%), activity (25%), mentions (10%), and a noise filter (10%). Details →
Why not just use GitHub Trending?
Trending is dominated by awesome-* lists and tutorial repos. We weight commits and merged PRs above raw stars, and apply a noise penalty for content-only repos. Details →
How is the AI Snapshot generated?
An LLM summarizes each repo's README into strict JSON — TL;DR, 3 key features, difficulty rating. Cached and refreshed automatically. Details →