Yes, as per the guide at https://deeplearning4j.org/android, for example, this is how we do can do this in the case of ND4J:
compile group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta3'
compile group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta3', classifier: "android-arm"
compile group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta3', classifier: "android-arm64"
compile group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta3', classifier: "android-x86"
compile group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta3', classifier: "android-x86_64"
compile group: 'org.bytedeco.javacpp-presets', name: 'openblas', version: '0.3.0-1.4.2'
compile group: 'org.bytedeco.javacpp-presets', name: 'openblas', version: '0.3.0-1.4.2', classifier: "android-arm"
compile group: 'org.bytedeco.javacpp-presets', name: 'openblas', version: '0.3.0-1.4.2', classifier: "android-arm64"
compile group: 'org.bytedeco.javacpp-presets', name: 'openblas', version: '0.3.0-1.4.2', classifier: "android-x86"
compile group: 'org.bytedeco.javacpp-presets', name: 'openblas', version: '0.3.0-1.4.2', classifier: "android-x86_64"
Here binaries for no other platforms than Android will get included.