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.
Try free now
Powering the best of the internet | Fastly
Fastly's edge cloud platform delivers faster, safer, and more scalable sites and apps to customers.
Ensure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
Project Tokaf is an general implementation of top-k algorithm. It provides interfaces for all modules that are needed. It also features user preferences module, for computing new preferences and manipulating existing ones.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
The main goal of OWLVE is to visualize graphically any OWL–lite file. Using powerful RCP and GEF technologies will improve the quality of graphics and diagrams.This project includes an algorithm for similarity calculus between two OWL files.
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.
OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming.
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 data mining algorithm, text mining.
M+ Compiler/Interpreter is a interpreter library written in Java that delivers the possibility to extend any Java application with simple scripts. Besides the usage of native datatypes and operations you can instantiate and call native Java objects.
A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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.
musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
StrMatch is a simple java program, created for educational purposes, that allows user to test a great part of string matching algorithms.
An intuitive user interface shows each algorithm step accurately...
This project aims to provide developers a convenient library about graph theory algorithm and some basic data structures. It will be developed in Java via Eclipse IDE, supporting both win32 and linux systems, and published as jar files.
This project's goal is to implement Artificial Inteligence algorithms and make them available for any platform but especially for
mobile devices.
The main objective is to allow the community to develop better and more
inteligent mobile games.
Simple genetic programming framework. Features a robust set of interfaces and standard implementations for rapid development and ease of experimentation.
MAIF is developed in Java 5 (especially Generics) and aims at building AI algorithms, by concentrating onto the mapping of real-world problems, while abstracting from their inner working. It can be extended with new algorithms and problem representations.
distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
Formicidae is the official simulator and visualizer for the Ant-Wars competitive programming site, written in Java and SISC. The site is hosted at www.ant-wars.net.
Mr. Logister is a resource scheduling application that uses genetic algorithms to find the best utilization and allocation of resources. The scheduler understands hard constraints like free/busy time and soft constraints like suitability and preferences.
unEvo is an Eclipse plug-in that provides support for the experimentation and research process on Evolutionary Algorithms, intended so that the user can implement an evolutionary algorithm without lost time in the code of the algorithm.
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.