- TensorFlow:
- Developed by Google Brain, TensorFlow is an open-source machine learning framework widely used for deep learning tasks.
- PyTorch:
- Developed by Facebook, PyTorch is an open-source deep learning framework known for its dynamic computation graph, making it more intuitive for researchers and developers.
- Scikit-Learn:
- A simple and efficient tool for data analysis and modeling, Scikit-Learn provides a wide range of tools for classical machine learning algorithms.
- Keras:
- Keras is an open-source high-level neural networks API, written in Python and capable of running on top of TensorFlow, Theano, or Microsoft Cognitive Toolkit (CNTK).
- IBM Watson:
- IBM Watson offers a suite of AI tools and services, including natural language processing, machine learning, and computer vision capabilities.
- Azure Machine Learning:
- Microsoft’s Azure Machine Learning is a cloud-based service that allows users to build, train, and deploy machine learning models.
- Amazon SageMaker:
- Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at scale.
- OpenCV:
- OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides tools for image and video analysis.
- Rasa:
- Rasa is an open-source platform for building conversational AI. It’s widely used for creating chatbots and virtual assistants.
- H2O.ai:
- H2O.ai offers open-source and commercial platforms for building and deploying machine learning models. H2O.ai’s tools are known for their scalability and ease of use.
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