Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
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.
This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
MongoLantern is an open source full text search server using MongoDB as index storage, which allows MongoLantern to migrate any changes very easily into account using MongoDB API. It's written originally written in PHP can be migrated to any desired language as required using it's future APIs.
MongoLantern 0.7 - Stable/Production Release:
1. MongoLantern API support enabled.
2. CSV indexer added as a plugin.
3. node.js API client added.
Testbed for playing with the algorithm "pagerank" of Google
Provide a testbed to play with pagerank-like algorithm on graph. You can easily add vertices, edges, save the graph for reuse, etc. For now, only Pagerank is implemented, but in the future, other algorithms will be added.
Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure
Native application identity and user-based security for your Azure cloud
Gain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
A PHP implementation of the modified preorder tree traversal algorithm
Zebra_MPTT is a PHP class that provides an implementation of the modified preorder tree traversal algorithm making it easy for you to use MPTT in your PHP applications.
It provides methods for adding nodes anywhere in the tree, deleting nodes, moving and copying nodes around the tree and methods for retrieving various information about the nodes.
GeneThello (read jə-ˈne-ˈthe-lō), is an acronym for genetic othello, an othello (reversi) playing program which based on GeneticAlgorithm (GA). In principle GeneThello consist of an othello program and a geneticalgorithm system.
Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.
NOTE: Project has been delayed due to other tasks.
Genetic Algorithms General Solver (GAGENES) is a C++ implementation of the geneticalgorithm concept.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
X-GAT (XML-based GeneticAlgorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.
Based on the introduction of Genetic Algorithms in the excellent book "Collective Intelligence" I have put together some python classes to extend the original concepts.
This library is a lightweight implementation of geneticalgorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.
Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a geneticalgorithm, and more.
PHP Business Rules is an open source application layer for PHP. The logic is defined in rules and facts. Like most Business Rule Engines (BRE) it uses the Rete algorithm.
Geneur is an Open Source scheduler for GRID. It is based on variation of genetic algorithms. Geneur uses backfill scheduling algorithm to create first genetic population.
LazyEngine is a collection of Tools for PHP, C# and JavaScript (based on JQuery).
The goal is to have a Library that contains most common functions daily used by software developers.
Some utility function and/or class to convert date from Gregorian calendar to Jalali (Hejri Shamsi) calendar in PHP, Delphi (and some other in future) with very fast algorithm.
This is implementation of parallel geneticalgorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
This sofware is designed to help different chess clubs to set up their own rating system. It uses USCF approximation formulas for rating calculations. Working example at newarkcc.vfutbole.ru
A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a geneticalgorithm immediately setup for solving it.
gaKnn(GeneticAlgorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a geneticalgorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
Java API for implementing any kind of GeneticAlgorithm 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.