Most #popular and widely-used #AI #tools

Here are some Popular AI tools available on the internet, along with their URLs and brief descriptions:

1. TensorFlow - https://www.tensorflow.org/
   An open-source machine learning framework developed by Google that allows developers to build and deploy machine learning models across multiple platforms.

2. Keras - https://keras.io/
   An open-source neural network library written in Python that provides a high-level API for building and training deep learning models.

3. PyTorch - https://pytorch.org/
   An open-source machine learning library developed by Facebook that provides a dynamic computational graph framework for building and training deep learning models.

4. Scikit-learn - https://scikit-learn.org/
   A free and open-source machine learning library for Python that provides tools for data mining and data analysis.

5. IBM Watson - https://www.ibm.com/watson
   A suite of enterprise-level AI and machine learning tools and services offered by IBM that includes natural language processing, speech-to-text, and image recognition capabilities.

6. Microsoft Azure AI - https://azure.microsoft.com/en-us/services/ai-platform/
   A cloud-based suite of AI and machine learning tools offered by Microsoft that includes cognitive services, Bot Service, and Azure Machine Learning.

7. Google Cloud AI - https://cloud.google.com/products/ai/
   A suite of AI and machine learning tools offered by Google Cloud that includes AutoML, Natural Language API, and Vision API.

8. Hugging Face - https://huggingface.co/
   An open-source AI and machine learning library for natural language processing that provides pre-trained models and tools for building custom models.

9. OpenAI - https://openai.com/
   An AI research lab focused on developing artificial general intelligence (AGI) that provides research papers, APIs, and tools for building AI models.

10. Caffe - https://caffe.berkeleyvision.org/
    An open-source deep learning framework developed by Berkeley AI Research (BAIR) that provides a fast and scalable platform for building and deploying neural networks.

11. Theano - http://deeplearning.net/software/theano/
    An open-source numerical computation library for Python that provides tools for building and training deep learning models.

12. Torch - https://pytorch.org/
    An open-source machine learning library that provides tools for building and training deep learning models, as well as a scripting language for creating complex workflows.

13. MXNet - https://mxnet.apache.org/
    An open-source deep learning framework that provides a flexible and efficient platform for building and deploying neural networks.

14. H2O.ai - https://www.h2o.ai/
    An open-source AI and machine learning platform that provides tools for building and deploying machine learning models at scale.

15. DataRobot - https://www.datarobot.com/
    An AI and machine learning platform that provides tools for automating the end-to-end process of building and deploying machine learning models.

16. RapidMiner - https://rapidminer.com/
    A machine learning platform that provides tools for building and deploying predictive models using a drag-and-drop interface.

17. Amazon SageMaker - https://aws.amazon.com/sagemaker/
    A cloud-based machine learning platform offered by Amazon Web Services that provides tools for building, training, and deploying machine learning models at scale.

18. Algorithmia - https://algorithmia.com/
    A platform that provides tools for building, deploying, and scaling machine learning models as microservices.

19. IBM Watson Studio - https://www.ibm.com/cloud/watson-studio
    A cloud-based data science platform offered by IBM that provides tools for building, training, and deploying machine learning models.

20. BigML - https://bigml.com/
    A cloud-based machine learning platform that provides tools for building and deploying predictive models using a web-based interface.