Listchevron_rightTop AI Tools for Machine Learning Engineers

Top AI Tools for Machine Learning Engineers

This list explores essential platforms and frameworks that empower engineers to design, train, and deploy powerful machine learning models. From automating tasks to optimizing performance, these tools are fueling innovation across various industries.

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7 Products

NameDescriptionPricing

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.

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A fast, powerful, and easy-to-use open source data analysis and manipulation tool for Python.

Free

Keras is a high-level neural networks API designed for human beings, focused on enabling fast experimentation and intuitive development of deep learning models.

Free

An end-to-end open source machine learning platform for everyone.

Free

PyTorch is an open-source machine learning library for Python, known for its flexibility, ease-of-use, and modular programming approach.

Free

Streamline ML workflows end-to-end with Weights & Biases, the MLOps platform trusted by the world's leading AI teams.

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NumPy is a fundamental package for scientific computing with Python, offering powerful n-dimensional arrays and numerical computing tools.

Free
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