SmartTensors is an open-source software framework providing methods for science-informed artificial intelligence and machine learning (AI/ML).
SmartTensors technology is designed to solve AI/ML problems as scale by utilizing cloud computing resources and high-performance computing.
SmartTensors uses cutting-edge methods to perform these analyses, including Non-negative Matrix and Tensor Factorization Methods.
SmartTensors has been extensively tested and verified. SmartTensors has been applied to a wide range of scientific problems, including hydrological, environmental, and climate analyses.
SmartTensors includes advanced visualization and mapping tools for processing inputs and outputs.
In 2021, SmartTensors won two R&D 100 awards.
SmartTensors is developed in Julia and is available on GitHub. Various tutorials and examples are available on the SmartTensors website and on the GitHub pages. They will allow users to get started with SmartTensors quickly. Do not hesitate to contact us if you have any questions.SmartTensors has been in active development for more than 10 years.
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