Showing 5 open source projects for "elo2400.bin"

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  • 1
    VAMS

    VAMS

    Virtual Assistant Maintenance System

    Virtual Assistant Maintenance System also knowns as VAMS is an AI software application, that helps users with some computer maintenance issues. Application Requirements: Operating System: Windows 8.1/10 /11 Processor: Intel Core i5 or equivalent RAM: 4GB or higher Free Disk Space: 500MB
    Downloads: 3 This Week
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  • 2
    Multi-Agent Emergence Environments

    Multi-Agent Emergence Environments

    Environment generation code for the paper "Emergent Tool Use"

    multi-agent-emergence-environments is an open source research environment framework developed by OpenAI for the study of emergent behaviors in multi-agent systems. It was designed for the experiments described in the paper and blog post “Emergent Tool Use from Multi-Agent Autocurricula”, which investigated how complex cooperative and competitive behaviors can evolve through self-play. The repository provides environment generation code that builds on the mujoco-worldgen package, enabling...
    Downloads: 0 This Week
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  • 3

    OpenCvSharp410 Face Recognition Detect

    OpenCvSharp with Cuda + TBB Face Detection Recognition

    ...Free Source Code Live Face Detection via Web Camera from OpenCvSharp 3.4.5 with CUDA + TBB Original clean source code structure with FREE binary test. reach out .BIN folder for direct tryout(0penCvSharp345.Cuda.x86.FaceDetect.EXE) Other FOLDER contains Face Recognition of OpenCvSharp410, no CUDA! FOR full source code of ****FACE RECOGNITION**** _ OpenCvSharp4.1.0(released date:April_17_2019), 64 Bit,,,, please donate $54 https://www.paypal.me/SoftwareCode/54 mail dbinxecod@gmail.com for direct link download source code
    Downloads: 0 This Week
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  • 4

    DE-HEoC

    DE-based Weight Optimisation for Heterogeneous Ensemble

    We propose the use of Differential Evolution algorithm for the weight adjustment of base classifiers used in weighted voting heterogeneous ensemble of classifier. Average Matthews Correlation Coefficient (MCC) score, calculated over 10-fold cross-validation, has been used as the measure of quality of an ensemble. DE/rand/1/bin algorithm has been utilised to maximize the average MCC score calculated using 10-fold cross-validation on training dataset. The voting weights of base classifiers are optimized for the heterogeneous ensemble of classifiers aiming to attain better generalization performances on testing datasets.
    Downloads: 0 This Week
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  • 5
    The Shapefile2Bin project aim to convert a real map (real city) in Shape format (ArgGIS format) to Bin format (Robocup Rescue format). The map after converted is used for Robocup Rescue Simulator (see more at: Robocup Rescue Simulation Project at SF.net)
    Downloads: 0 This Week
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