There are many AI and machine learning tools available for developers, but some of the most popular and widely used ones include:

1. TensorFlow: An open-source machine learning library developed by Google. It is used for building and deploying machine learning models and is widely used in industry and academia.
2. PyTorch: An open-source machine learning library developed by Facebook. It is used for building and deploying machine learning models and is similar to TensorFlow in functionality.
3. scikit-learn: An open-source machine learning library for Python. It is a simple and easy-to-use library that provides a wide range of algorithms for classification, regression, and clustering.
4. Keras: An open-source neural network library written in Python. It is a high-level library that can run on top of TensorFlow, PyTorch, and other libraries, and is known for its user-friendly API.
5. RapidMiner: A commercial machine learning platform that provides a wide range of machine learning algorithms and tools for data preparation, modeling, evaluation, and deployment.
6. DataRobot: A commercial machine learning platform that automates the entire machine learning process, from feature engineering to model selection and deployment.
7. KNIME: An open-source data analytics, reporting, and integration platform that provides a wide range of machine learning algorithms and tools for data preparation, modeling, evaluation, and deployment.
8. H2O.ai: A commercial platform that provides a wide range of machine learning algorithms and tools for data preparation, modeling, evaluation, and deployment.