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
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
#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#Owl - OCaml Scientific Computing @ https://ocaml.xyz
RStan, the R interface to Stan
Bayesian Data Analysis demos for Python
#计算机科学#Boltzmann Machines in TensorFlow with examples
#算法刷题#Bitmap generation from a single example with convolutions and MCMC
翻译 - 从带有卷积和MCMC的单个示例生成位图。
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
#自然语言处理#DGMs for NLP. A roadmap.
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
#计算机科学#Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
#计算机科学#High-performance Bayesian Data Analysis on the GPU in Clojure
#计算机科学#ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Types and utility functions for summarizing Markov chain Monte Carlo simulations
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms