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
Keep company data safe with Chrome Enterprise
Protect your business with AI policies and data loss prevention in the browser
Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
A Java package for pretty-printing a text by deciding where to introduce line-breaks and indentation. A Java implementation of Derek Oppen\'s pretty printing algorithm. It is _not_ a pretty printer for Java code, though it could be used to write one.
a first work algorithm trials to implement a compromise between distributed and centralized version control system.part of research project,it's only a simulation. no real networking is implemented ,only virtual random signal are imaginary produced.
This is an implementation of Donald Knuth's Algorithm X ("dancing links"). This is primarily a sudoku generator and solver, though it can be used to solve other exact cover problems.
Full access to Enterprise features. No credit card required.
What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
The PowerCiph Data EncryptionAlgorithm is a versatile, yet simplistic, encryptionalgorithm/protocol. The ultimate goal of the algorithm is simplicity, compactness, and a lack of prerequisites.
gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
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.
This is an algorithm to codify Spanish words to an equivalent phonetic code. That intends to be a substitute of Soundex algorithm that is not practical to use in Spanish. It is very useful for search engines based on text information.
The Security Annotation Framework (SAF) is an instance-level access control framework and field-level encryption framework driven by Java 5 annotations.
This is an academic project; the main objective is to generate an algorithm to parallelize a CNF formula and then feed the distributed parts to sequential SAT solvers, for this project we have choose to use Sat4J as the solver.
This educational software simulates an Ad-hoc network with AODV algorithm, it uses a high level view and only works in Routing layer. it has a user-friendly graphical user interface and has been written in java language.
The simpliZia-program implements the simplex-algorithm and is designed to help students of Operations Research to understand and learn the algorithm. This is a german project, source and program are actually written in german.
Proposed is an algorithm
that uses computer vision, combined with a modified Rubine classifier, to allow
arbitrary N-sided polygons as accepted sketches in real-time.
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/.