Built into the tool’s foundation is an architecture that checks for correlations do the correlations create a prediction that suggests a harmful stereotype?

The tool can be set to work automatically. Importantly, AI Fairness allows AI engineers to explore the algorithms throughout the development lifecycle.

The tool provides algorithms to enable a developer to scan a ML model to find any potential bias, an essential part of fighting bias – and certainly a complex task. The problem with bias in artificial intelligence algorithms is a growing concern, and AI Fairness 360 is the open source solution to address this. Expect ONNX to grow ever more popular in the years ahead. In essence, the Open Neural Network Exchange greatly extends the usefulness of existing models by enabling this porting. PyTorch offers neural networks, a foundational element of AI development.ĭeveloped by Microsoft and Facebook, Open Neural Network Exchange offers some very powerful tools, most particularly the ability to recycle fully developed neural network models (which have spent hours and hours being trained in systems) into various other systems. Even more important, developers and AI engineers can set PyTorch up on the top cloud computing platforms PyTorch on AWS and PyTorch on Azure are both viable, as well as Google Cloud and Alibaba. It focuses on machine learning, arguably the most popular use of AI in this stage of the emerging technology’s growth. PyTorch has all the elements you’d expect from a leading open source AI project. Remember, if you know of additional top open source AI tools that should be on this list, please include them in the comments section below. That is, a new idea from this month’s AI project ends up next year (or even next month) in a high- end AI solution sold by a company. Typically freed from the constraints of a corporate setting (though some are supported by companies), these open source AI projects can dream big – and often deliver ground-breaking machine learning (ML) and AI advances.Īlso important: the advances from these leading open source AI projects fuel the larger AI sector. Because these open source projects are often pursued as passion projects by developers (sometimes in colleges and universities), the advances are creative and particularly forward-looking. Open source artificial intelligence projects don’t always get a lot of publicity, but they play a vital role in the development of artificial intelligence.

Top java open source projects