455a5d112d
* Input format extended * Deleted redundant code * Added weights format to conv2d config * Refactoring * dl4j base test functionality * Different tests base class per module * Check base class for dl4j-graph subproject tests * Check if test classes extend BaseDL4JTest * Use nd4j-common-tests as transient dependency * Enums and tests added * Added codegenerated methods * Use namespace methods * Replace DifferentialFunctionFactory with codegenerated classes * Fixed linspace * Namespaces regenerated * Namespaces used instead of factory * Regenerated base classes * Input format extended * Added weights format to conv2d config * Refactoring * dl4j base test functionality * Different tests base class per module * Check base class for dl4j-graph subproject tests * Check if test classes extend BaseDL4JTest * Use nd4j-common-tests as transient dependency * Enums and tests added * Added codegenerated methods * Use namespace methods * Replace DifferentialFunctionFactory with codegenerated classes * Fixed linspace * Namespaces regenerated * Regenerated base classes * Regenerated namespaces * Generate nd4j namespaces * INDArrays accepting constructors * Generated some ops * Some fixes * SameDiff ops regenerated * Regenerated nd4j ops * externalErrors moved * Compilation fixes * SquaredDifference - strict number of args * Deprecated code cleanup. Proper base class for tests. * Extend test classes with BaseND4JTest * Extend test classes with BaseDL4JTest * Legacy code * DL4J cleanup * Exclude test utils from base class check * Tests fixed * Arbiter tests fix * Test dependency scope fix + pom.xml formatting Signed-off-by: Alex Black <blacka101@gmail.com> * Significant number of fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Another round of fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Another round of fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Few additional fixes Signed-off-by: Alex Black <blacka101@gmail.com> * DataVec missing test scope dependencies Signed-off-by: Alex Black <blacka101@gmail.com> Co-authored-by: Alex Black <blacka101@gmail.com> |
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ci | ||
contrib | ||
nd4j-backends | ||
nd4j-common | ||
nd4j-common-tests | ||
nd4j-jdbc | ||
nd4j-parameter-server-parent | ||
nd4j-remote | ||
nd4j-serde | ||
nd4j-shade | ||
nd4j-tensorflow | ||
nd4j-uberjar | ||
.appveyor.yml | ||
.codeclimate.yml | ||
.gitignore | ||
.travis.yml | ||
LICENSE | ||
README.md | ||
RaspberryPi.md | ||
VERSION | ||
buildAllversions.sh | ||
buildmultiplescalaversions.sh | ||
pom.xml |
README.md
ND4J: Scientific Computing on the JVM
ND4J is an Apache 2.0-licensed scientific computing library for the JVM. By contributing code to this repository, you agree to make your contribution available under an Apache 2.0 license.
It is meant to be used in production environments rather than as a research tool, which means routines are designed to run fast with minimum RAM requirements.
Please search for the latest version on search.maven.org.
Or use the versions displayed in: https://github.com/eclipse/deeplearning4j-examples/blob/master/pom.xml
Main Features
- Versatile n-dimensional array object
- Multiplatform functionality including GPUs
- Linear algebra and signal processing functions
Specifics
- Supports GPUs via with the CUDA backend nd4j-cuda-7.5 and Native via nd4j-native.
- All of this is wrapped in a unifying interface.
- The API mimics the semantics of Numpy, Matlab and scikit-learn.
Documentation
Documentation is available at deeplearning4j.org. Access the JavaDocs for more detail.
Installation
To install ND4J, there are a couple of approaches, and more information can be found on the DL4J website.
Install from Maven Central
- Search for nd4j in the Maven Central Repository to find the available nd4j jars.
- Include the appropriate dependency in your pom.xml.
Clone from the GitHub Repo
https://deeplearning4j.org/docs/latest/deeplearning4j-build-from-source
Contribute
-
Check for open issues, or open a new issue to start a discussion around a feature idea or a bug.
-
If you feel uncomfortable or uncertain about an issue or your changes, feel free to contact us on Gitter using the link above.
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Fork the repository on GitHub to start making your changes to the master branch (or branch off of it).
-
Write a test, which shows that the bug was fixed or that the feature works as expected.
-
Note the repository follows the Google Java style with two modifications: 120-char column wrap and 4-spaces indentation. You can format your code to this format by typing
mvn formatter:format
in the subproject you work on, by using thecontrib/formatter.xml
at the root of the repository to configure the Eclipse formatter, or by using the INtellij plugin. -
Send a pull request, and bug us on Gitter until it gets merged and published.