Bayesian Modeling and Probabilistic Programming in Python
翻译 - Python中的概率编程：Theano的贝叶斯建模和概率机器学习
PyMC educational resources
THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
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;）
Examples of PyMC models, including a library of Jupyter notebooks.
A python tutorial on bayesian modeling techniques (PyMC3)
Solve ODEs fast, with support for PyMC
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Recent builds of Numpy, Scipy, Matplotlib, iPython and PyMC for OSX
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com...
翻译 - Theano是一个Python库，可让您有效地定义，优化和评估涉及多维数组的数学表达式。它可以使用GPU并执行有效的符号区分。
基于MC协议实现与三菱PLC通讯的python库