Open Data Hub
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Best Open Data Hub Alternatives & Competitors in 2024
The best Open Data Hub alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
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The C3 AI Suite uses a model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise-scale AI applications.
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Team Management for developers. Simplified and automated
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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.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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Distributed SQL Query Engine for Big Data (by Facebook)
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An all-in-one data transformation platform for exploring, preparing, visualizing, monitoring, and cataloging Snowflake insights.
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Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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Anaconda is the leading open data science platform powered by Python.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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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.
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Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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Open source deep learning platform that provides a seamless path from research prototyping to...