- TensorFlow - An open-source machine learning framework that allows users to build and deploy machine learning models.
Website: https://www.tensorflow.org/
- Google Cloud AI Platform - A suite of AI tools and services that allows users to build, deploy, and manage machine learning models. Includes services such as Cloud Machine Learning Engine, Cloud TPUs, and Cloud Vision API.
Website: https://cloud.google.com/ai-platform/
- Amazon SageMaker - A fully-managed machine learning platform that allows users to build, train, and deploy machine learning models.
Website: https://aws.amazon.com/sagemaker/
- IBM Watson - A set of artificial intelligence services that allows users to build, deploy, and manage machine learning models. Includes services such as Watson Studio, Watson Natural Language Understanding, and Watson Visual Recognition.
Website: https://www.ibm.com/watson
- OpenAI - A research company that develops and promotes friendly AI in the way that is most likely to benefit humanity as a whole.
Website: https://openai.com/
- Microsoft Azure Machine Learning - A cloud-based machine learning platform that allows users to build, deploy, and manage machine learning models.
Website: https://azure.microsoft.com/en-us/services/machine-learning/
- KNIME - A data analytics platform that allows users to develop machine learning models and workflows.
Website: https://www.knime.com/
