#计算机科学#Machine learning, in numpy
翻译 - 机器学习,以数字表示
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
#计算机科学#Deep universal probabilistic programming with Python and PyTorch
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Fast and Easy Infinite Neural Networks in Python
#计算机科学#A Python library that helps data scientists to infer causation rather than observing correlation.
翻译 - 一个Python图书馆,可帮助数据科学家推断因果关系,而不是观察相关性。
#计算机科学#A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Bayesian Data Analysis course at Aalto
翻译 - 阿尔托的贝叶斯数据分析课程
#计算机科学#Bayesian inference with probabilistic programming.
#计算机科学#Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
#计算机科学#Infer.NET is a framework for running Bayesian inference in graphical models
翻译 - Infer.NET是用于在图形模型中运行贝叶斯推理的框架
#Awesome#Awesome resources on normalizing flows.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
solution of exercises of the book "probabilistic robotics"
BAyesian Model-Building Interface (Bambi) in Python.
RStan, the R interface to Stan
Bayesian Data Analysis demos for Python