8 Best AI Libraries for Python Developers

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Most popular, versatile for various machine learning tasks.

1. TensorFlow

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High-level API built on top of TensorFlow or other frameworks.

2. Keras

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 Offers flexibility for building complex architectures.

3. PyTorch

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Powerful for classical machine learning algorithms.

4. Scikit-learn

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Foundational library for numerical computing, array manipulation, etc.

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5. NumPy

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Another essential library for data analysis and manipulation.

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6. Pandas

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Libraries for data visualization, creating charts and graphs to understand your data and model performance.

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7. Matplotlib (or Seaborn)

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Up-and-coming library for high-performance numerical computation.

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8. JAX

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