Go to file
Alex Black 0d8b2d65cd Merge remote-tracking branch 'eclipse/master' 2020-05-11 22:53:22 +10:00
.github Update contributing and issue/PR templates (#7934) 2019-06-22 16:21:27 +10:00
arbiter Import fix given recent refactoring 2020-05-11 12:25:31 +10:00
datavec Fix doc. (#8905) 2020-05-06 09:59:53 +02:00
deeplearning4j Merge remote-tracking branch 'eclipse/master' 2020-05-11 22:53:22 +10:00
jumpy Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
libnd4j [WIP] minor fixes (#447) 2020-05-11 15:41:43 +03:00
nd4j Fix an issue when creating DataBuffer/INDArray from ByteBuffer for multiple datatypes (#446) 2020-05-11 21:29:52 +10:00
nd4s Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
pydatavec Minor edits to README for pydatavec and pydl4j (#8336) 2019-12-06 08:10:38 +01:00
pydl4j Update dependencies to just released JavaCPP and JavaCV 1.5.3 (#374) 2020-04-14 19:36:14 +10:00
rl4j Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
scalnet Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
.gitignore RL4J: Sanitize async learner (#327) 2020-04-20 11:21:01 +09:00
CONTRIBUTING.md Various fixes (#43) 2019-11-14 19:38:20 +11:00
Jenkinsfile Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
LICENSE Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
README.md Eclipse -> Konduit update (#188) 2020-01-27 16:03:00 +11:00
change-cuda-versions.sh Update dependencies to just released JavaCPP and JavaCV 1.5.3 (#374) 2020-04-14 19:36:14 +10:00
change-scala-versions.sh Timeouts and scala 2.12 for deeplearning4j-nlp-korean workaround (#380) 2020-04-20 10:26:00 +10:00
perform-release.sh Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
pom.xml Update dependencies for OpenBLAS 0.3.9-1 (#440) 2020-05-08 15:33:28 +10:00

README.md

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:

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=<your GPU CC> -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/eclipse/deeplearning4j-examples

In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/eclipse/deeplearning4j-examples/tree/master/tutorials