2 个仓库
Awesome GitHub RepositoriesKernel-Based Classifiers
Classifiers that use kernel functions to map data into higher dimensions for non-linear separation.
Distinct from Supervised Classification: Focuses on kernel tricks for non-linear boundaries specifically, rather than general supervised classification workflows.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Kernel-Based Classifiers. Refine with filters or upvote what's useful.
Awesome Kernel-Based Classifiers GitHub Repositories
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- rasbt/python-machine-learning-book
rasbt/python-machine-learning-book
12,614在 GitHub 上查看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
Implements non-linear classification using kernel tricks to find separating hyperplanes for non-linearly separable data.
Jupyter Notebook - astorfi/tensorflow-world
astorfi/TensorFlow-World
4,492在 GitHub 上查看TensorFlow-World 是一个教程、实现指南和模型模板集合，用于使用 TensorFlow 框架构建和训练机器学习模型。它作为设计深度学习架构和实现预测模型的教育资源。 该项目提供了用于构建神经网络架构和线性分类器的现成示例。它包括关于执行张量操作、自动微分和梯度下降优化的指南。 这些材料涵盖了一系列机器学习功能，包括使用高级 Keras 抽象进行模型组合、实现核分类器以及开发回归和分类系统。
Develops classifiers that use kernel functions to map data into higher dimensions for non-linear separation.
Python
