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Ludwig is a toolbox established above top of TensorFlow that supports to educate and experiment deep learning models without her need to write code. All you necessitate to provide is one CSV file constituting your data, a tally of columns to use while influences, also a record of columns for the purpose of use in the role of outputs, Ludwig will do the rest. No-fuss commands can be used to bullet train models both locally and in a distributed strategy, and to apply them to predict on new data.

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CategoriesScientific/Engineering, Technology Learning, Deep Learning Frameworks LicenseApache Charter V2.0 Follow Ludwig

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Be the first to post a judgment of Ludwig! Additional Project Details Operating SystemsLinux, Mac, Windows Registered 2019-12-03 Akin Business Engine

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• TFLearn TFlearn is a unitized and transparent deep insight library built on spike of Tensorflow. It happened designed to provide selected higher-level API to TensorFlow along order to facilitate and flying up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level... See Software
• Cloth for Deep Learning (FfDL) Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, by the same token MXNet have yielded to the popularity of deep learning by reducing our effort and skills needed to design, train, and employ deep learning models. Covering with regard to Deep Development (FfDL, pronounced “fiddle”) provides a... See Software

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