Bayesian Modeling and Probabilistic Programming in Python
#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.
#计算机科学#A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Bayesian Data Analysis course at Aalto
#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
#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.
#计算机科学#Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
RStan, the R interface to Stan