Search Results for "quantum programming framework" - Page 4

GenetiK is a generic framework that supports evolutionary algorithms, in particular Genetic Algorithms and Genetic Programming (and also Strongly Typed GP).

RTB - Team is a C++ framework and a collection of strategies for robots of the programming game "RealTimeBattle" in order to play in a team and communicate in an efficient way. The whole package depends on rtb version 1.0.6 or higher.

Message Transport Protocol (MTP) implementation using XMPP for the Java Agent DEvelopment framework (JADE). Produced under the Google Summer of Code program with the help of Quantum Leap Interactive and Jabber, Inc.

The Genetic Programming Engine project provides a framework for conducting experiments in Genetic Programming. The framework was designed with extensability in mind and allows for easy creation of new problems and operations.

The Cross-platform A. I. Framework For Everyone's Incredibly Nerdy Enjoyment (Caffeine) project is an attempt to simplify the process of learning AI programming.

Genetic Programming framework written in Python. Takes advantage of python\'s compiler to make things simple. Includes basic genetic operations (rank/roulette selection,crossover,mutation,steady state,elitistm ...)

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.

Tourk is a framework for developing programming games, where two (or more) people write game playing code (like Deep Blue) and a controller puts the two against each other.

PMDGP is an object oriented framework written in C++ for implementing genetic programming problems. Once a GP problem has been implemented using the framework, a GUI client and Server can be used do distribute the fitness evaluation.

a distributed engine for abstract neural network development via natural-language programming

MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30% improvement in programming scaffolds. M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. ...

Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection -...