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Showing 6 open source projects for "detection"

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  • 1
    Paper2GUI

    Paper2GUI

    Convert AI papers to GUI

    ...It can be used immediately without installation. It already supports 40+ AI models, covering AI painting, speech synthesis, video frame complementing, video super-resolution, object detection, and image stylization. , OCR recognition and other fields. Support Windows, Mac, Linux systems. Paper2GUI: 一款面向普通人的 AI 桌面 APP 工具箱,免安装即开即用,已支持 40+AI 模型,内容涵盖 AI 绘画、语音合成、视频补帧、视频超分、目标检测、图片风格化、OCR 识别等领域。支持 Windows、Mac、Linux 系统。
    Downloads: 5 This Week
    Last Update:
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  • 2
    ShinyItemAnalysis

    ShinyItemAnalysis

    Test and Item Analysis via Shiny

    ...Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models. Item analysis with IRT models. Detection of differential item functioning. Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports. All methods include sample R code which is ready to copy and paste into R and run locally. Several toy data sets are ready to use. ...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 3
    future

    future

    R package: future: Unified Parallel and Distributed Processing in R

    ...This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions, managing of packages, RNG, etc. Automatic detection and export of global objects and functions needed by future expressions, so the user doesn’t need to manage that manually. Ability to control how futures are resolved.
    Downloads: 0 This Week
    Last Update:
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  • 4
    NYC Taxi Data

    NYC Taxi Data

    Import public NYC taxi and for-hire vehicle (Uber, Lyft)

    ...The project includes scripts and notebooks for cleaning and filtering the raw data, memory-efficient processing for large CSV/Parquet files, and aggregation workflows (e.g. trips per hour, heatmaps of pickups/dropoffs). It also contains example analyses—spatial and temporal visualizations like maps, time-series plots, and hotspot detection—highlighting insights such as patterns of demand, peak times, and geospatial distributions. The repository is often used as a benchmark dataset and example for teaching, benchmarking, and demonstration purposes in the data science and urban analytics communities.
    Downloads: 3 This Week
    Last Update:
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  • 5

    MetEx

    MetEx is a computational tool for metabolite targered extraction and a

    ...To date, however, there is a scarcity of efficient, systematic, and easy-to-handle tools that are tailored for metabolomics and exposome community. So we developed a user-friendly and powerful software/webserver, MetEx, to both enable implementation of classical peak detection-based annotation and a new annotation method based on targeted extraction algorithms. The new annotation method based on targeted extraction algorithms can annotate more than 2 times metabolites than classical peak detection-based annotation method because it reduces the loss of metabolite signal in the data preprocessing process.
    Downloads: 5 This Week
    Last Update:
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  • 6
    AnomalyDetection

    AnomalyDetection

    Anomaly Detection with R

    AnomalyDetection is an R package developed by Twitter for detecting anomalies in seasonal univariate time series. It implements the Seasonal Hybrid Extreme Studentized Deviate (S‑H‑ESD) test, which reliably identifies both global and local outliers in data with trends and seasonality—commonly applied to system metrics, engagement data, and business KPIs.
    Downloads: 0 This Week
    Last Update:
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