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1. TensorFlow:

   • Developed by Google, TensorFlow is an open-source machine learning library. It's widely used for building and training various types of machine learning models, including deep learning.

2. PyTorch:

   • PyTorch is an open-source deep learning library developed by Facebook. It's known for its dynamic computation graph and is often used in research and development.

3. Scikit-learn:

   • This is a simple and efficient tool for data analysis and modeling. It includes various machine learning algorithms and tools for data preprocessing and model evaluation.

4. Keras:

   • Keras is an open-source deep learning API written in Python. It acts as an interface for the TensorFlow library and is designed to be user-friendly, modular, and extensible.

5. Jupyter Notebooks:

   • Jupyter is an open-source tool that allows you to create and share live code, equations, visualizations, and narrative text in a single document. It's widely used for data exploration, analysis, and prototyping in AI projects.