Showing 6 open source projects for "capture"

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  • 1
    whylogs

    whylogs

    The open standard for data logging

    ...With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond simple mean, median, and standard deviation measures), the number of missing values, and a wide range of configurable custom metrics. By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction.
    Downloads: 0 This Week
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  • 2
    Timesketch

    Timesketch

    Collaborative forensic timeline analysis

    Timesketch is a collaborative forensic timeline analysis platform used to investigate security incidents by turning diverse evidence into a single, searchable chronology. Analysts ingest logs and artifacts from many sources—endpoints, servers, cloud services—and Timesketch normalizes them into events on a unified timeline. Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging,...
    Downloads: 0 This Week
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  • 3
    data-diff

    data-diff

    Efficiently diff rows across two different databases

    ...The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates.
    Downloads: 0 This Week
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  • 4
    TransPose

    TransPose

    PyTorch Implementation for "TransPose, Keypoint localization

    TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on.
    Downloads: 1 This Week
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  • 5
    fooltrader

    fooltrader

    Quant framework for stock

    Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. ...
    Downloads: 0 This Week
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  • 6
    BLIX is a cross-platform set of Python extension modules and Python scripts for Blender (www.blender.org). These scripts add camera calibration, 3D reconstruction and rigid body orientation to Blender.
    Downloads: 0 This Week
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