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Top 20 products relevant to Machine Learning, Data Science Tools, and Data Science And Machine Learning

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  1. 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.

    Open Source

    /tensorflow-alternatives
  2. Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

    /azure-machine-learning-service-alternatives
  3. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

    /amazon-sagemaker-alternatives
  4. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Open Source

    /keras-alternatives
  5. Data Annotation Platform.

    Open Source freemium

    /diffgram-alternatives
  6. Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

    /tangram-alternatives
  7. A generic integrated platformย with a large palette of AI modules. It covers all the Machine Learning operations like : Preprocessing modules,ย Deep Learning algorithms, and more.

    /smartpredict-alternatives
  8. Veritone Automate Studio is one of the major Low-Code platforms powered by AI to empower organizations willing to implement intelligent process automation initiatives to create and deploy workflows backed by AI and integrate the output insights intoโ€ฆ.

    /veritone-automate-studio-alternatives
  9. Analytic Process Automation (APA) delivers automation of analytics, machine learning and data science processes; enabling the agility needed to accelerate digital transformation.

    /alteryx-analytic-process-automation-platform-alternatives
  10. Accessible AI for everyone. AI-powered machine learning platform to clean, transform and model your data, and deploy and manage ML projects, simply, quickly and cost-effectively.

    paid Free Trial $129.0 / Monthly

    /ai-and-analytics-engine-alternatives
  11. mlpack is a scalable machine learning library, written in C++.

    Open Source

    /mlpack-alternatives
  12. Free ML Platform for everyone.

    /cnvrg-core-alternatives
  13. open source, low-code machine learning library in Python.

    Open Source

    /pycaret-alternatives
  14. Labelling made easy-training data to build AI/ML models fast.

    freemium $499.0 / Monthly

    /labellerr-alternatives
  15. JS-Torch is a Deep Learning JavaScript library built from scratch, to closely follow PyTorch's syntax.

    /js-torch-alternatives
  16. IDE for PyTorch and its ecosystem.

    Open Source

    /torchstudio-alternatives
  17. This may not be the best deep learning framework, but it is a deep learning framework.

    /tinygrad-alternatives
  18. BigDL is a distributed deep learning library for Apache Spark.

    /bigdl-alternatives
  19. DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models.

    /nvidia-digits-alternatives
  20. CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost.

    Open Source

    /catboost-alternatives

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