Maximum entropy and minimum divergence models in Python
OTHER License
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in Py...
A talk on what probability distributions are, using Python
An open-source toolkit for entropic data analysis.
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]
General statistics, mathematical programming, and numerical/scientific computing scripts and note...
A python tutorial on bayesian modeling techniques (PyMC3)
The basic distribution probability Tutorial for Deep Learning Researchers
Basic utilities for Bayesian inference
Minimum description length principle algorithm in Python, for optimal binning of continuous varia...
A miscellaneous set of helper functions, custom distributions, and other utilities that I find us...
Explore the double-descent phenomena in the context of system identification. Companion code to t...
[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.
Bayesian inference in HSMMs and HMMs
A Python implementation of global optimization with gaussian processes.
An open-source toolkit for entropic data analysis