Comprehensive stratégies évolutives Tools for Every Need

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stratégies évolutives

  • Coinrule enables automated trading strategies for cryptocurrencies effortlessly.
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    What is Coinrule?
    Coinrule is a platform that enables traders to automate their cryptocurrency trading by setting custom rules and conditions. Users can build strategies using a straightforward interface, making it possible to execute trades automatically based on market signals. With support for various exchanges, Coinrule helps crypto traders take advantage of market opportunities 24/7, reducing emotion-driven mistakes and optimizing trading efficiency.
  • Prodio empowers product teams to transform strategies into scalable, consistent outcomes.
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    What is Daiviq - AI-Driven Marketing?
    Prodio is a comprehensive product management solution designed to help teams transform their strategies into scalable outcomes. It offers AI-powered insights to predict market trends and drive growth, and combines powerful tools for analytics, OKRs, workflows, and real-time updates in one platform. Prodio supports product performance understanding through product intelligence, automates user journey workflows, and provides robust A/B testing capabilities. It facilitates easy collaboration with a dynamic, interactive whiteboard, and offers customized dashboards to streamline reporting and enhance productivity. Prodio is essential for anyone looking to improve efficiency and achieve measurable business success.
  • Open-source Python framework using NEAT neuroevolution to autonomously train AI agents to play Super Mario Bros.
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    What is mario-ai?
    The mario-ai project offers a comprehensive pipeline for developing AI agents to master Super Mario Bros. using neuroevolution. By integrating a Python-based NEAT implementation with the OpenAI Gym SuperMario environment, it allows users to define custom fitness criteria, mutation rates, and network topologies. During training, the framework evaluates generations of neural networks, selects high-performing genomes, and provides real-time visualization of both gameplay and network evolution. Additionally, it supports saving and loading trained models, exporting champion genomes, and generating detailed performance logs. Researchers, educators, and hobbyists can extend the codebase to other game environments, experiment with evolutionary strategies, and benchmark AI learning progress across different levels.
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