2 个仓库
Awesome GitHub RepositoriesFunction Modeling
Techniques for defining distributions over functions to model input-output relationships without assuming parametric forms.
Distinct from Sigmoid Activation Functions: Distinct from activation functions: focuses on modeling function distributions rather than squashing scalar inputs.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Function Modeling. Refine with filters or upvote what's useful.
Awesome Function Modeling GitHub Repositories
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- d2l-ai/d2l-en
d2l-ai/d2l-en
29,001在 GitHub 上查看This project is an educational platform and research toolkit designed to teach deep learning through a combination of mathematical theory, visual diagrams, and executable code. It provides a comprehensive environment for building, training, and evaluating neural networks, grounding complex concepts in interactive computational notebooks that allow for hands-on experimentation. The framework distinguishes itself by interleaving theoretical foundations—including linear algebra, calculus, and probability—with practical implementations across multiple industry-standard libraries. It supports flex
Defines high-level properties of functions by specifying Gaussian distributions over potential function values.
Pythonbookcomputer-visiondata-science - accord-net/framework
accord-net/framework
4,540在 GitHub 上查看这是一个面向 .NET 生态系统的科学计算框架，提供了一套全面的数值分析、统计和数学优化库。它作为开发机器学习、数字信号处理和计算机视觉应用的基础工具包。 该框架提供了用于训练和部署预测模型的专用工具包，包括神经网络、支持向量机和决策树。它还通过对实时视觉分析（如对象跟踪和面部特征检测）的深度集成，以及用于捕获和过滤音频及传感器信号的专用数字信号处理库而脱颖而出。 其功能范围扩展到高级矩阵分解和线性代数、概率状态建模和启发式搜索算法。它还涵盖了广泛的数据操作实用程序，从降维和归一化到空间数据组织和科学可视化组件。 该系统包括用于摄像机配置、GPIO 端口管理和专用深度传感硬件的硬件集成控制器。
Provides mathematical definitions of potential functions to model relationships between variables in a system.
C#
