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    Floki

    Floki

    Floki is a simple HTML parser that enables search for nodes using CSS

    Floki is a simple HTML parser that enables search for nodes using CSS selectors. Floki needs the :leex module in order to compile. Normally this module is installed with Erlang in a complete installation. By default, Floki uses a patched version of mochiweb_html for parsing fragments due to its ease of installation (it's written in Erlang and has no outside dependencies). fast_html is generally faster, according to the benchmarks conducted by its developers.
    Downloads: 0 This Week
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  • 2
    Livebook

    Livebook

    Interactive and collaborative code notebooks for Elixir

    ...Automation: use Smart cells to perform high-level tasks and write notebooks faster than ever. Query databases, plot charts, build maps, and more directly from Livebook's UI. Reproducible: Livebook ensures your code runs in a predictable order, all the way down to package management. It also tracks your notebook state, annotating which parts are stale. Collaboration: multiple users can work on the same notebook at once, no additional setup is required.
    Downloads: 0 This Week
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  • 3
    Axon

    Axon

    Nx-powered Neural Networks

    ...Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides abstractions that enable easy integration while maintaining a level of separation between each component. You should be able to use any of the APIs without dependencies on others. By decoupling the APIs, Axon gives you full control over each aspect of creating and training a neural network. ...
    Downloads: 0 This Week
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  • 4
    GraphQL Elixir

    GraphQL Elixir

    GraphQL Elixir

    An Elixir implementation of Facebook's GraphQL. This is the core GraphQL query parsing and execution engine whose goal is to be transport, server and datastore agnostic. In order to setup an HTTP server (ie Phoenix) to handle GraphQL queries you will need plug_graphql. Examples for Phoenix can be found at hello_graphql_phoenix, so look here for a starting point for writing your own schemas. Other ways of handling queries will be added in due course. Tokenization is done with leex and parsing with yecc. Both very useful Erlang tools for parsing. ...
    Downloads: 0 This Week
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