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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
A Java library for parsing and building iCalendar data models
converter that creates three-dimensional models of the world from OpenStreetMap data
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
The foundational library of the Morpheus data science framework
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
Play! Framework module for adding magic timestamp fields to Models, like Ruby on Rails (created_at & updated_at))
Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON