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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
MetaDiff framework is an extensible comparison solution for modelling artifacts. Framework supports convenient way to add new implementations of comparison and matching algorithms and provides practical way of working with different meta-models.
This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
Gazoo is a Java framework for genetic algorithms development. Gazoo provides the core of a genetic algorithm, leaving to the user the implementation of specific-problem classes.
A framework for tools for code clone (i.e. duplicated code) detection and removal for Eclipse Platform. It provides tight integration into Eclipse, enabling incremental adaptation of clone data and enables use of various clone detection algorithms.
The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.
The Customizable Caching Framework provides a basic but robust implementation of a cache with expiry and memory management features. It also provides entry points to populate the cache, making it reusable in several applications.
Incredable is the first DLT-secured platform that allows you to save time, eliminate errors, and ensure your organization is compliant all in one place.
For healthcare Providers and Facilities
Incredable streamlines and simplifies the complex process of medical credentialing for hospitals and medical facilities, helping you save valuable time, reduce costs, and minimize risks. With Incredable, you can effortlessly manage all your healthcare providers and their credentials within a single, unified platform. Our state-of-the-art technology ensures top-notch data security, giving you peace of mind.
JGraphica is a graphical platform for developing oriented and not-oriented graph algorithms. The platform allows the creation and management of graphs, eliminating the burden of creating some custom solutions for graph editing.
Lightweight and easy for use framework for audio features extraction.
Java framework based on jAudio feature extraction algorithms, but lightweight and easy for use. Support mp3, wav, aiff, aifc, au and snd files. Can extract 28 features.
Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.
A behavioral synthesis tool infrastructure and software framework, translating sequential algorithms into hardware descriptions expressed in a hardware description language (HDL).
We are going to create a library of artificial intelligence, to make optimizations programs and strategic games, where we will implement a framework, algorithms of deep search style, brand search , minmax, methods like pathfinding...