Software Alternatives, Accelerators & Startups


Machine Learning Operationalization

Numericcal Alternatives

The best Numericcal alternatives based on verified products, community votes, reviews and other factors.
Filter: 8 Open-Source Alternatives Latest update:

  1. 19

    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. 17

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

  3. Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .

    Try for free paid Free Trial $3.0 (3$ per 1 Gb)

    Try for free
  4. 17

    Machine Learning Operationalization

  5. 17

    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

  6. 18

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

  7. 15

    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.

  8. 12

    Deep Learning and AI accessible to everyone

  9. 17

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

  10. 15

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

  11. 14

    Developer tools for deep learning research

  12. 15

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

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

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

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