zyhuster1's repositories
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
cs231n.github.io
Public facing notes page
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
lantern
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/download 🔴
advisor
Open-source implementation of Google Vizier for hyper parameters tuning
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
protobuf
Protocol Buffers - Google's data interchange format
polynomial_surrogates
Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions via least-angle regression as well as continuous-space low-rank approximations in canonical polyadics format.
NPBenchmark-TravelingPurchaser
外卖配送问题SDK.
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
drawNemenyi
Publication quality figure for Nemenyi post-hoc test for the Friedman's test
eda-suite
Research code for using generative neural networks in Estimation of Distribution Algorithms (EDAs)