Showing 5 open source projects for "derive"

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    Raster Vision

    Raster Vision

    Open source framework for deep learning satellite and aerial imagery

    Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training...
    Downloads: 0 This Week
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  • 2
    NYCOpenData-Profiling-Analysis

    NYCOpenData-Profiling-Analysis

    Open Data Profiling, Quality and Analysis on NYC OpenData dataset

    Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). For each semantic type T identified, enumerate all the values encountered for T in all columns present in the collection.
    Downloads: 0 This Week
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  • 3
    colorview2d

    colorview2d

    Extendible 2D color plotting tool.

    Visualize and analyze 3D data files using 2D colorplots. Inspired by spyview. Written in python.
    Downloads: 0 This Week
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  • 4
    A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file (e.g., proportion of character/numeric values, min/mean/median/max, missing values, correlation with a target column). * tbljoin: Relational join without the need of pre-sorting and column matching...
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  • 5
    HappyDoc is a tool for extracting documentation from Python source code. It differs from other such applications by the fact that it uses the parse tree for a module to derive the information and does not import the module.
    Downloads: 2 This Week
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