2 个仓库
Practical code examples demonstrating the application of machine learning algorithms using Python.
Distinct from Python Machine Learning Libraries: Focuses on educational example code rather than the libraries or framework infrastructure itself
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This project is an educational resource providing practical code examples and implementations of machine learning algorithms using the Python language. It serves as a guide for constructing predictive pipelines, clustering models, and dimensionality reduction within the Scikit-Learn ecosystem. The repository includes comprehensive demonstrations for supervised and unsupervised learning, as well as detailed examples for implementing neural networks and deep architectures. It also provides practical guidance on exporting model parameters to JSON and wrapping trained models in web APIs for produ
Offers a wide collection of Python-based implementations for supervised and unsupervised learning algorithms.
Arduino CLI 是一个命令行界面,用于编译、上传和管理 Arduino 兼容硬件的库和板核心。它充当微控制器工具链管理器和硬件编程工具,提供发现和安装各种硬件架构所需的平台定义和编译器的实用程序。 该项目具有支持 RPC 的开发守护进程,允许外部程序触发内部工具操作并以编程方式管理自动化电子工作流。它还包含一个交互式硬件调试器,用于实时排查物理设备上运行的代码。 该工具涵盖了板和库管理,包括依赖分析、索引同步以及第三方仓库的集成。其构建和部署功能包括源代码编译、二进制上传和引导加载程序安装,并支持串口输出监控和连接硬件检测。 该工具提供 shell 自动补全生成功能,并通过基于文件的配置系统管理环境设置。
Displays available example sketches for libraries to demonstrate practical hardware implementation.