Software Alternatives & Reviews

Floyd

Heroku for deep learning

Floyd Alternatives

The best Floyd alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. Visual tool for building custom deep learning models

  2. 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.

  3. Machine learning made easy for developers of any skill level

  4. Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

  5. Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

  6. Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.

  7. Learn anything in 30 days, with the help of an AI coach

  8. Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

  9. Deep learning enabled video camera for developers

  10. Everything you need to take AI from research to production

  11. 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.

    freemium

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

  13. The world's most accurate face recognition algorithm

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This list was published on | Author: | Publisher: SaaSHub
Categories: Artificial Intelligence, Data Science And Machine Learning, Machine Learning Tools