Search Results for "java machine learning library"

The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. ...

Library for implementation of interoperable metaobject protocols for dynamic languages running on a Java Virtual Machine.

A small library that provides a powerful and container-less Dependency-Injection mechanism, via AspectJ and Groovy. If you are tired of reams of XML configuration files, managing complex factories and containers, this non-API solution may appeal to you.

JSpasm is a pure Java package for developing event-driven, state-based software applications and packages. This small-footprint package will handle multiple models and large numbers of entities in parallel, and includes features to support SMP operation.