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Top 20 open-source products relevant to AI and Machine Learning

  1. TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

    Open Source

    /tensorflow-alternatives

  2. The easiest way to run large language models locally.

    Open Source

    /ollama-alternatives

  3. Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

    Open Source

    /h2o-ai-alternatives

  4. AI Powered Text to Speech Converter.

    Open Source freemium $4.0 / Monthly

    /verbatik-alternatives

  5. Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

    Open Source freemium

    /neptune-ai-alternatives

  6. Realtime analytics database.

    Open Source

    /pipelinedb-alternatives

  7. Powerful machine learning knowledge discovery platform.

    Open Source freemium

    /pandora-by-atomic-lab-alternatives

  8. Open-source & Collaborative Quality Testing for AI models.

    Open Source freemium

    /giskard-ai-alternatives

  9. Easily test and debug your ML models.

    Open Source

    /efemarai-alternatives

  10. Annotate (formerly know as Glui) is the simplest way to capture, annotate and share screenshots.

    Open Source

    /annotate-alternatives

  11. The light PyTorch wrapper for high-performance AI research.

    Open Source

    /pytorch-lightning-alternatives

  12. IDE for PyTorch and its ecosystem.

    Open Source

    /torchstudio-alternatives

  13. Say goodbye to complex MLOps pipelines and specialized vector databases. Integrate and train AI directly with your preferred database, only using Python.

    Open Source

    /superduperdb-alternatives

  14. Deepchecks is a QA platform that inspects the production data and models.

    Open Source

    /deepchecks-alternatives

  15. Simple, secure, and reproducible packaging for AI/ML projects.

    Open Source free

    /kitops-alternatives

  16. Built with a variety of languages to maximise performance, Dagpi is fast and reliable.Powered by powerful networking APIs, Dagpi saves you from having to run resource intensive image manipulation on your own hardware.

    Open Source

    /dagpi-api-alternatives

  17. CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost.

    Open Source

    /catboost-alternatives

  18. Data lake for machine and deep learning. The fastest dataset management tool for computer vision. .

    Open Source $450.0 / Monthly (Growth Plan for up to 10 users)

    /activeloop-alternatives

  19. Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.

    Open Source

    /thinc-alternatives

  20. AIGod - An application for recognizing objects on photo/video/webcams with a graphical interface.

    Open Source free

    /aigod-alternatives

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