Search Results for "artificial intelligence algorithm" - Page 3
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88 projects for "artificial intelligence algorithm" with 2 filters applied:
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Gen AI apps are built with MongoDB AtlasMongoDB 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.
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Deliver secure remote access with OpenVPN.OpenVPN's products provide scalable, secure remote access — giving complete freedom to your employees to work outside the office while securely accessing SaaS, the internet, and company resources.
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DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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OpenCare is an easy-to-use, feature-rich, extremely expandable, research-oriented Electronic Medical / Health Record System (EMR/EHR) written in PHP currently using MySQL as a backend.
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.
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Build Securely on Azure with Proven FrameworksMoving 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.
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NeuroBox is an .NET OOP Library to generate, propagate and train complex neuronal networks with technologies like backpropagation with weight decay, momentum term, manhattan training, flatspot elimination etc.
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Multilayered feed-forward neural network software written in C++. Backpropagation and RPROP are available as training algorithms. Design goals: speed of execution when calculating the output to new data, and quality of training (preprocessing: PCA).
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CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
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It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
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Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
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No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido 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.
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Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.
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Yawn: Yet Another W* Network: a java framework for developing, training and testing neural networks independently of the model and test environment.
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IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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lazar (Lazy Structure-Activity Relationships) is a tool for the prediction of toxic activities of chemical structures.
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A Python interface to the Wordnet database of word meanings and lexical relationships. allows the user to type expressions such as N['dog'], hyponyms(N['dog'][0]), and closure(ADJ['red'], SYNONYM) to query the database for lexical relationships.
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Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
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openevo is a project started to find out about behaviour of evolutionary generated machine code. It implements a certain set of CPU instruction codes and a few interrupts for interaction with the runtime environment.
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OntoCardio is an initiative to build ontologies for the legacy Cardio Database (Resource of bioinformation on cardiovascular diseases). SMI's Protege and its OWL plug-in has been adopted as the ontology construction and programming framework.
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HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
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Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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ai applications,or 'aiapps', is a suite of applications applying algorithms and methods from the domain/field of artificial intelligence, machine learning, evolutionary computation, neural nets etc....to real world problems
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Ce projet couvre tous les développements logiciels qu'Unitec, le club de robotique de l'UTBM, va entreprendre pour la coupe de France de robotique E=M6.
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Alife research platform to study the evolvability of different assembly-like computer languages. It's similar to Tierra and Avida but it's designed to be more general.
