Showing 4 open source projects for "python q learning"

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  • 1
    CssSelector Component

    CssSelector Component

    Converts CSS selectors to XPath expressions

    XPath expressions are incredibly flexible, so there is almost always an XPath expression that will find the element you need. Unfortunately, they can also become very complicated, and the learning curve is steep. Even common operations (such as finding an element with a particular class) can require long and unwieldy expressions. CSS selectors are less powerful than XPath, but far easier to write, read and understand. Since they are less powerful, almost all CSS selectors can be converted...
    Downloads: 6 This Week
    Last Update:
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  • 2
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,...
    Downloads: 3 This Week
    Last Update:
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  • 3
    WikiSQL

    WikiSQL

    A large annotated semantic parsing corpus for developing NL interfaces

    A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching...
    Downloads: 0 This Week
    Last Update:
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  • 4
    A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.
    Downloads: 0 This Week
    Last Update:
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