List of available AI software

 Certainly! Here's a list of various types of AI software available:

1. TensorFlow: An open-source machine learning framework developed by Google.
2. PyTorch: An open-source machine learning library developed by Facebook's AI Research lab.
3. Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, Theano, or CNTK.
4. scikit-learn: A simple and efficient tools for data mining and data analysis, built on NumPy, SciPy, and matplotlib.
5. OpenAI Gym: A toolkit for developing and comparing reinforcement learning algorithms.
6. Microsoft Cognitive Toolkit (CNTK): An open-source deep-learning toolkit developed by Microsoft.
7. IBM Watson: A suite of AI services, applications, and tools provided by IBM.
8. Amazon AI: A set of services and tools provided by Amazon Web Services (AWS) for building AI applications.
9. Google Cloud AI Platform: A set of machine learning tools and services provided by Google Cloud Platform (GCP).
10. SAS AI: AI and machine learning solutions provided by SAS Institute.
11. H2O.ai: An open-source AI platform that provides scalable machine learning and deep learning solutions.
12. RapidMiner: A data science platform that offers AI and machine learning capabilities.
13. DataRobot: An automated machine learning platform for building, deploying, and managing machine learning models.
14. BigML: A platform that provides machine learning and predictive analytics services.
15. Apache Spark MLlib: A scalable machine learning library provided by the Apache Spark project.
16. Orange: An open-source data visualization and analysis tool with AI and machine learning capabilities.
17. Weka: A collection of machine learning algorithms for data mining tasks.
18. KNIME: A platform for data analytics, reporting, and integration with a variety of machine learning and AI capabilities.
19. Caffe: A deep learning framework developed by the Berkeley Vision and Learning Center (BVLC).
20. Theano: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.

This list covers a range of AI software tools and platforms across different domains such as machine learning, deep learning, natural language processing, and more.