There are 32 repositories under bayesian topic.
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Bayesian Data Analysis course at Aalto
Seminars DeepBayes Summer School 2018
Bayesian Data Analysis demos for Python
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
How to do Bayesian statistical modelling using numpy and PyMC3
Bayesian Data Analysis demos for R
:ghost: Utilities for analyzing Bayesian models and posterior distributions
A collection of Bayesian data analysis recipes using PyMC3
Python package for Bayesian Machine Learning with scikit-learn API
Bayesian Deep Learning: A Survey
PyTorch implementation of bayesian neural network [torchbnn]
:link: Methods for Correlation Analysis
High-performance Bayesian Data Analysis on the GPU in Clojure
This repository holds slides and code for a full Bayesian statistics graduate course.
Bayesian multi-object tracking
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Collection of probabilistic models and inference algorithms
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.