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
Ship Agents Faster
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
This project provides a framework for testing and comparing different machine learning algorithms (particularly reinforcement learning methods) in different scenarios. Its intended area of application is in research and education.
Maveryx is an innovative Test Automation Framework for Java GUI-based applications. It eliminates the GUI Maps dependency by providing a new dynamic GUI objects handling and an expert system detecting and managing AUT changes and defects at runtime.
Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.
Fifteen puzzle, with its own goal-seeking to find the best solution
This project implements the "fifteen puzzle", but it has a twist: the program can solve the puzzle perfectly.
The project contains a simple JAVA framework that implements heuristic goal-seeking algorithms. We use this to search for the best solution, but the framework is general-purpose and can be used for similar one-person puzzles. Using this framework will allow developers to focus on a specific domain of interest, while leaving many of the AI concepts and goal-searching concepts to be implemented by the framework
The front-end classes use Swing and thus can be run via the Web.
...
DOGMA is a MATLAB toolbox for discriminative online learning. It implements all the state of the art algorithms in a unique and simple framework. Examples are Perceptron, Passive-Aggresive, ALMA, NORMA, SILK, Projectron, RBP, Banditron, etc.
A framework built on Berkley's Ptolemy. Runs a variety of bit width optimization algorithms and suggests bit widths. Includes parsers for simulink and system generator.
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.
ProViz is a program visualization framework for Java. It is built as a plugin to the Eclipse IDE. (We are getting close to publishing resources and making this project distributable. Stay tuned!) A video demo: http://www.youtube.com/watch?v=BsoK1n-OM
Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithmsframework which can be used as a basis for modelling and programming virtually any practical optimisation problem.
Emulica provides manufacturing control engineers and researchers with generic modeling components to build industry-scale virtual (emulated) shop floor systems, and thus test control approaches.
X-GAT (XML-based Genetic Algorithm 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.
CryptAPI is a C# library that contains unimplemented algorithms in the .NET framework (NT, NTLM, BlowFish, DES and MD5) linking and emulating the crypt() unix function re-programmed in C#. The main purpose is to provide backward compatiblity.
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.
Gearbox provides a collection of usable peer-reviewed robotics-related libraries. Gearbox is not an integration framework. Rather, it provides a set of implementations, without insisting on a standard API, for use by any number of existing frameworks.
A comparative map and trait visualization framework enabling visual integration of genomic data from disparate data sources and allowing rich client-side interactivity and manipulation. Extensible through plugins for new datasources and algorithms.
A base set of libraries. Boilerplate type code and algorithms.
Currently skuttil (Java util & parsing code) and searKit (generic Java search framework).
Cyberinfrastructure Shell (CIShell) is an open source, community-driven framework/application for the integration and utilization of datasets, algorithms, tools, and computing resources. Algorithms can be integrated using most programming languages.
WSNSim is a simulation framework that allows evaluation of various algorithms on a common platform. The simulator comes pre-equipped with LEACH, HEED and SNIPER clustering and routing algorithms.
Open BEAGLE is a C++ Evolutionary Computation (EC) framework. It provides an high-level software environment to do any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution strategy.
The Open BEAGLE architecture follows strong principles of object oriented programming, where abstractions are represented by loosely coupled objects and where it is common and easy to reuse code. ...
Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering
weka outlier is an implementation of outlier detection algorithms for WEKA.
CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.