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.
Start Free
Our Free Plans just got better! | Auth0
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
The goal of this project is to build a very large ontology.
What is intended is a multiple inheritence taxonomy with properties.
Usual ontologies like OpenCyc or ThoughTreasure weights a few megabytes.
The project will build a 100 megabyte ontology.
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.
GAAF is a tool for analyzing Genetic Algorithms (GA for short). It allows to check the behavior of a particular GA resolving a particular problem so one can get empirical information to decide which GA best fits problem's conditions.
SecureJDMS is the attempt to develop a secure DMS, based on an RCP and (even untrusted) DB for data storage. For now, its all about managing scanned documents and searching them by content (using OCR). All data sent and stored will be strongly encrypted.
Augmented Syntax Diagrams are an alternative to natural language grammar rules expressed as strings. They are also suitable for left-corner bottom-up parsing. Prof. Jim Mason developed an editor (ASDEditor) in Java to create and edit ASD grammars.
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
Security is a subject of major concern in mobile agents. This project provides a security framework that allows the protection of mobile agents from third parties. A self-protected approach, where the agents themselves manage the process, is used.
Module linux kernel for upload chaosnet protocol into network layer. Server and client programm for share with lisp machine data space. Api interface for make program and service with chaosnet protocol.
The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many image processing and analysis algorithms, classification tools, and much more.
Python Machine learning library with multi-core support. Wraps existing ML libraries in order to be able to run and analyse experiments with one front-end API. Currently supports MLP, GA, GP, ESN and RBF algorithms.
Rakiura JFern - lightweight Petri Net framework. Engine with the GUI simulator, written in Java and designed for Java developers. Supports multiple inscription languages: Java, Kawa, BeanShell and Clojure.
This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.
This is an Robot Learning Environment consisting a full robot operating system and a simulator which run the system. It is geared for use to learning robotics concepts in cases where real hardware is not available.