2 个仓库
Awesome GitHub RepositoriesRegression Implementations
Implementations of regression methods including linear basis function models and Gaussian processes from the PRML textbook.
Distinct from Linear Regression Implementations: Distinct from Linear Regression Implementations: covers a broader range of regression methods including Gaussian processes, not just linear regression.
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Awesome Regression Implementations GitHub Repositories
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- prml/prmlt
PRML/PRMLT
6,207在 GitHub 上查看PRMLT provides self-contained MATLAB implementations of every algorithm from the Pattern Recognition and Machine Learning textbook by Christopher Bishop. The code reproduces the book's exact formulas and notation, making each implementation directly traceable to the source material for educational verification and study. The implementations cover the full range of core machine learning methods from the textbook, including classification, clustering, regression, density estimation, and neural network algorithms. Each module is self-contained with heavy comments, and the code uses compact, vect
Implements regression methods including linear basis function models and Gaussian processes from the PRML textbook.
MATLAB - binroot/tensorflow-book
BinRoot/TensorFlow-Book
4,431在 GitHub 上查看这是一个 TensorFlow 机器学习示例集合，为各种神经网络范式提供了参考实现。它涵盖了监督学习、无监督学习、强化学习和序列学习模型。 该仓库包含了专注于图像分类和排序的卷积神经网络实现，以及用于时间序列预测和序列到序列翻译的循环神经网络。此外，它还提供了通过奖励优化训练的强化学习智能体，以及用于数据聚类的自编码器和自组织映射等无监督学习技术。 其他功能涵盖了监督回归和分类、语义嵌入生成，以及用于序列数据建模的隐马尔可夫模型。该项目还包括用于张量操作管理和通过仪表板进行模型性能可视化的实用工具。 内容以一系列 Jupyter Notebook 的形式提供。
Implements a range of regression methods to predict continuous values by fitting linear and non-linear relationships.
Jupyter Notebookautoencoderbookclassification
