Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Train ML Models With SQL You Already Know
BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
EasyAI is a project to build classical AI program and method in Java language, such as resolution for logic, greedy search, genetic algorithm, neural network and so on...
Simbrain is a java-based neural network. It is no longer being hosted here. Most information and downloads are at the homepage, www.simbrain.net. The development page is http://code.google.com/p/simbrain/
Network gaming environment for AI warriors. Offers an application server, a soccer game application, an observer module visualizing a match and a template code for the warriors development.
A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
The Pattern Recognition Analysis Project is a Java implementation of a basic multilayered backpropagation neural network, used in a color recognition and character recognition project, made for educational and experimental purposes.
This project aims to create a block oriented visual workbench for general purpose systems modelling and simulation.
In the first milestone, we`ll build a simple GUI and the basic blocks to model neural network training and internetwork topologies.
META Spider is a neural network powered search engine which aim is to determine if a given raw information is relevant, using the experience of the active user of the hosting computer as a reference.
LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use ArtificialNeuralNetwork to build the experiment
Automated Linguistic Analysis, with both monolith and cluster versions
Sample application showcasing usage of technologies such as:
* OSGi R7 Promises for asynchronous generation of transcriptions and linguistic analyses
* OSGi R7 Push Stream and JAX RS Server Sent Events for push notifications of processing status
* Apache Camel 2.23.1 and RabbitMQ 3.7 for asynchronous communication between services
* JPA 2.1 and Hibernate 5.2.12, along with OSGi R7 JPA and Transaction Control services, for persistence layer
* OSGi R7 HTTP and JAX RS Whiteboard for...