Minimum description length principle algorithm in Python, for optimal binning of continuous variables
MIT License
An open-source toolkit for entropic data analysis
Extends scikit-learn with new models, transformers, metrics, plotting.
Maximum entropy and minimum divergence models in Python
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
The book "Annotated Algorithms in Python" and the nlib.py library
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
机器学习原理
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, Pow...
Entropy, Zipf's law and distributional semantics
Machine learning, in numpy
BlooPy: Black-box optimization Python for bitstring, categorical, and numerical discrete problems...
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
An open-source toolkit for entropic data analysis.
A GPT, made only of MLPs, in Jax