Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
Fast, Scientific and Numerical Computing for the JVM (NDArrays)
A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs
Deep Reinforcement Learning for the JVM (Deep-Q, A3C)
ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.