The framework provides software developers with powerful deep learning and traditional machine learning algorithms for creating applications that fuel digital transformation

 ABBYY, a Digital Intelligence company, today announced the launch of NeoML, an open-source library for building, training, and deploying machine learning models. Available now on GitHub, NeoML supports both deep learning and traditional machine learning algorithms. The cross-platform framework is optimized for applications that run in cloud environments, on desktop and mobile devices. Compared to a popular open-source library, NeoML offers 15-20% faster performance for pre-trained image processing models running on any device.[1] The combination of higher inference speed with platform-independence makes the library ideal for mobile solutions that require both seamless customer experience and on-device data processing. Read More