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Top 11 products relevant to Machine Learning, Data Science Notebooks, Data Science And Machine Learning, and Machine Learning Tools

  1. 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

    /algorithmia-alternatives
  2. Developer tools for deep learning research.

    /weights-and-biases-alternatives
  3. 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
  4. 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.

    /managed-mlflow-alternatives
  5. Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

    /iterative-ai-alternatives
  6. The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

    /5analytics-alternatives
  7. Machine Learning Operationalization.

    /mcenter-alternatives
  8. Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

    /mlperf-alternatives
  9. Machine learning (ML) application building platform.

    /hopsworks-alternatives
  10. Machine Learning Operationalization.

    /numericcal-alternatives
  11. Get familiar with Polyaxon - Open source machine learning on Kubernetes, deep Learning on Kubernetes.

    Open Source

    /polyaxon-alternatives

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