Most Trending Open Source MLOps Tools of 2022

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • finetuner

    :dart: Task-oriented finetuning for better embeddings on neural search

    With Executor Hub, one can easily use LLMs or pretrained models on Hugging Face to embed Documents. However, in practice the performance is often suboptimal without proper domain adoption or knowledge transferring. Fine-tuning is an effective solution to improve the performance on neural search and embedding-related tasks. Jina AI also provides Finetuner tools makes fine-tuning easier, faster and performant by streamlining the workflow and handling all complexity and infrastructure on the cloud.

  • docarray

    🧬 The data structure for multimodal data · Neural Search · Vector Search · Document Store

    Document is the fundamental data structure. (This project is also an opensource project by the Linux Foundation)

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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