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There are several popular AI/ML frameworks that have revolutionised the filed of AI/ML. For example, 

  • TensorFlow, developed by Google, provides a flexible platform for building a wide range of applications, from computer vision and natural language processing to speech recognition and reinforcement learning.
  • PyTorch, developed by Facebook's AI Research lab, is another popular framework known for its dynamic computation graph, making it highly suitable for research and prototyping. 
  • AlphaZero, developed by DeepMind, is a powerful AI framework that has achieved groundbreaking results in self-learning, game playing, and optimization.
  • DeepSpeed, developed by Microsoft, is a framework designed to optimize training large-scale deep learning models across multiple GPUs and distributed clusters, making it ideal for high-performance computing environments.

NCI keeps adding supports for popular AI/ML frameworks and provides powerful tools and libraries for users to build and execute cutting-edge AI/ML applications.  

More details on using these frameworks at NCI are described as below


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