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Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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@MinishLab

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Pringled/README.md

Hi there 👋

I'm Thomas van Dongen. I'm head of AI engineering at Springer Nature and co-founder of Minish, an open-source ML lab focused on efficient, eco-friendly models and packages.

Open-source projects:

  • model2vec: a library for creating state-of-the-art static embedding models by distilling sentence transformers.
  • semhash: a library for multimodal deduplication, outlier detection, and representative filtering.
  • pyversity: a library for retrieval result diversification.
  • vicinity: a library for fast and lightweight nearest neighbor search, with flexible indexing backends.
  • tokenlearn: a library for pre-training static embedding models.
  • model2vec-rs: a Rust port of Model2Vec.
  • agentcheck: a Go CLI tool that checks what an AI agent can access before you run it.

Info:

Pinned Loading

  1. MinishLab/model2vec MinishLab/model2vec Public

    Fast State-of-the-Art Static Embeddings

    Python 2k 116

  2. MinishLab/semhash MinishLab/semhash Public

    Fast Multimodal Semantic Deduplication & Filtering

    Python 899 55

  3. pyversity pyversity Public

    Fast Diversification for Search & Retrieval

    Python 485 27

  4. MinishLab/vicinity MinishLab/vicinity Public

    Lightweight Nearest Neighbors with Flexible Backends

    Python 335 10

  5. agentcheck agentcheck Public

    Check what an AI agent can access before you run it

    Go 25 2