Go to file
Fariz Rahman ecdee6369d
IntIndexer -> UIntIndexer (#476)
2020-05-24 13:47:17 +03:00
.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 Fix typo (#469) 2020-05-18 15:46:46 +10:00
jumpy Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
libnd4j Switch to static linking for Android (#472) 2020-05-21 10:04:05 +03:00
nd4j IntIndexer -> UIntIndexer (#476) 2020-05-24 13:47:17 +03:00
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
python4j Python4j (#422) 2020-05-21 11:47:12 +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 Python4j (#422) 2020-05-21 11:47:12 +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