”bayesian-methods“ 的搜索结果

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

翻译 - 又名“黑客的贝叶斯方法”：贝叶斯方法+概率编程的介绍，具有计算/理解第一，数学第二的观点。全部使用纯Python;）

Notebooks about Bayesian methods for machine learning

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Bayesian Methods for Machine Learning

A community repository for benchmarking Bayesian methods

Bayesian Methods in Astronomy workshop, presented at AAS227

Materials for Bayesian Methods in Machine Learning Course

R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

Bayesian multi-tensor factorization methods, with side information

Bayesian methods in health economics in Stan (Florence course)

Bayesian methods for time series analysis with code in Julia

Clone of book Probabilistic Programming and Bayesian Methods for Hackers by CamDavidsonPilon

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems

Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems

Bayesian Python: Bayesian inference tools for Python

Bayesian optimization in PyTorch

翻译 - PyTorch中的贝叶斯优化

Barcelona GSE Macroeconometrics Summer School 2018 course

Spearmint Bayesian optimization codebase

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

Bayesian inference with probabilistic programming.

MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling averaging methods in Matlab.