Software Alternatives & Reviews

MLPerf

Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

MLPerf Alternatives

The best MLPerf alternatives based on verified products, community votes, reviews and other factors.

  1. 15
    /algorithmia-alternatives

    Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

    Open Source

  2. 15
    /mcenter-alternatives

    Machine Learning Operationalization

  3. Try for free

    Get proxy servers featuring IPv4, HTTP/HTTPs, and SOCKS4/5 protocols. Choose from static and rotating IP addresses. ProxyCompass is here to support your business around the clock.

    Try for free paid Free Trial $15.0 / Monthly (5 US Proxies)

  4. 14
    /5analytics-alternatives

    The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

  5. 11
    /spell-alternatives

    Deep Learning and AI accessible to everyone

  6. 14
    /neptune-ai-alternatives

    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

  7. 15
    /datmo-alternatives

    Datmo tools help power up your existing model workflow. A new standard built by data scientists, for data scientists.

  8. 13
    /managed-mlflow-alternatives

    Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

  9. 15
    /datatron-alternatives

    Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

  10. 15
    /numericcal-alternatives

    Machine Learning Operationalization

  11. 14
    /iterative-ai-alternatives

    Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

  12. 12
    /weights-and-biases-alternatives

    Developer tools for deep learning research

  13. /comet-ml-alternatives

    Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

  14. /seldon-alternatives

    Seldon increases engagement and revenue by providing a smarter personalised user experience.

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