MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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No-Nonsense Code-to-Cloud Security for Devs | Aikido
Connect your GitHub, GitLab, Bitbucket, or Azure DevOps account to start scanning your repos for free.
Aikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
A collection of ACO algorithms for the datamining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the datamining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Javacode. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values.
This project is now hosted at: https://github.com/febo...
Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/DataMining Software through the use of Intelligent Agents.
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as datamining algorithm, text mining.