# deeplearning4j **Repository Path**: mrxt/deeplearning4j ## Basic Information - **Project Name**: deeplearning4j - **Description**: Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - **Primary Language**: Java - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-06-12 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Monorepo of Deeplearning4j Welcome to the new monorepo of Deeplearning4j that contains the source code for all the following projects, in addition to the original repository of Deeplearning4j moved to [deeplearning4j](deeplearning4j): * https://github.com/deeplearning4j/libnd4j * https://github.com/deeplearning4j/nd4j * https://github.com/deeplearning4j/datavec * https://github.com/deeplearning4j/arbiter * https://github.com/deeplearning4j/nd4s * https://github.com/deeplearning4j/gym-java-client * https://github.com/deeplearning4j/rl4j * https://github.com/deeplearning4j/scalnet * https://github.com/deeplearning4j/pydl4j * https://github.com/deeplearning4j/jumpy * https://github.com/deeplearning4j/pydatavec To build everything, we can use commands like ``` ./change-cuda-versions.sh x.x ./change-scala-versions.sh 2.xx ./change-spark-versions.sh x mvn clean install -Dmaven.test.skip -Dlibnd4j.cuda=x.x -Dlibnd4j.compute=xx ``` or ``` mvn -B -V -U clean install -pl '!jumpy,!pydatavec,!pydl4j' -Dlibnd4j.platform=linux-x86_64 -Dlibnd4j.chip=cuda -Dlibnd4j.cuda=9.2 -Dlibnd4j.compute= -Djavacpp.platform=linux-x86_64 -Dmaven.test.skip=true ``` An example of GPU "CC" or compute capability is 61 for Titan X Pascal. # Want some examples? We have separate repository with various examples available: https://github.com/deeplearning4j/dl4j-examples In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-examples/tree/master/tutorials