Showing 3 open source projects for "multi-layer perceptron python"

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  • 1
    Polars

    Polars

    Dataframes powered by a multithreaded, vectorized query engine

    Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts.
    Downloads: 0 This Week
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  • 2
    Mini Jinja

    Mini Jinja

    MiniJinja is a powerful but minimal dependency template engine

    MiniJinja is a minimal-dependency template engine based on the syntax and behavior of Python’s Jinja2. It is implemented primarily for Rust and also has Go, JavaScript, Python, C, and CLI-related components. The project supports Jinja-style templates, inheritance, filters, expressions, dynamic objects, and serde-compatible data. It is designed to stay close to Jinja2 while keeping compile times, dependencies, and API surface manageable for Rust programs. MiniJinja can also be used as a small expression language or embedded template layer in larger applications. ...
    Downloads: 0 This Week
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  • 3
    Ansible Examples

    Ansible Examples

    A few starter examples of ansible playbooks, to show features

    This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be...
    Downloads: 2 This Week
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