Software Alternatives, Accelerators & Startups

sktime

sktime companion package for deep learning based on TensorFlow - sktime/sktime-dl.

sktime

sktime Alternatives & Competitors

The best sktime alternatives based on verified products, community votes, reviews and other factors.
Filter: 5 Open-Source Alternatives. Latest update:

  1. TensorFlow.js is a library for machine learning in JavaScript.

    Key TensorFlow.js features:

    Cross-Platform Compatibility Interactive Visualization Real-time Execution No Installation Required

    /tensorflow-js-alternatives
  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.

    Key TensorFlow features:

    Comprehensive Ecosystem Community and Support Flexibility Integrations

    Open Source

    /tensorflow-alternatives
  3. The all-in-one Screenshot API for developers: capture websites, generate PDFs, record videos, and automate it all with powerful, scalable infrastructure. No browser setup, no hassle. Just clean results, fast.

    Key ScreenshotMAX features:

    Annoyance Blocking Scheduled Screenshot Tasks Full-Page Screenshot Rendering HTML to PDF Conversion

    Try for free freemium $19.0 / Monthly

    Try for free
  4. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Key Keras features:

    User-Friendly Modularity Pre-trained Models Integration with TensorFlow

    Open Source

    /keras-alternatives
  5. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

    Key Scikit-learn features:

    Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

    Open Source

    /scikit-learn-alternatives
  6. Open source deep learning platform that provides a seamless path from research prototyping to...

    Key PyTorch features:

    Dynamic Computation Graph Pythonic Nature Strong Community Support Flexibility and Control

    Open Source

    /pytorch-alternatives
  7. Select Target Platform Click on the green buttons that describe your target platform.

    Key CUDA Toolkit features:

    Performance Support for Parallel Programming Rich Development Ecosystem Comprehensive Libraries

    /cuda-toolkit-alternatives
  8. MLKit is a simple machine learning framework written in Swift.

    Key MLKit features:

    Feature-Rich Ease of Integration Regular Updates Open-Source

    Open Source

    /mlkit-alternatives
  9. Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.

    Key Kubeflow features:

    Scalability Portability End-to-End Pipeline Management Open Source Community

    /kubeflow-alternatives
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