
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ScalNet and DynaML
ScalNet is a wrapper around Deeplearning4J intended to emulate a Keras-like API for developing deep learning applications. If you're already familiar with neural network architectures and are coming from a JVM background, it would be worth exploring the Scala-based ScalNet library:
- GitHub (https://github.com/deeplear…/deeplearning4j/…/master/scalnet)
- Example (https://github.com/…/sc…/org/deeplearning4j/scalnet/examples)
DynaML is a Scala and JVM ML toolbox for research, education, and industry. This library provides an interactive, end-to-end, and enterprise-friendly way of developing ML applications. If you're interested, see more at https://transcendent-ai-labs.github.io/DynaML/.