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
-
Updated
Jun 23, 2020 - Python
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
Deep universal probabilistic programming with Python and PyTorch
Bayesian Data Analysis course at Aalto
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.
Bayesian Data Analysis demos for Python
How to do Bayesian statistical modelling using numpy and PyMC3
Seminars DeepBayes Summer School 2018
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
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.
Bayesian Data Analysis demos for R
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
A general-purpose probabilistic programming system with programmable inference
rstanarm R package for Bayesian applied regression modeling
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Python package for Bayesian Machine Learning with scikit-learn API
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
A collection of Bayesian data analysis recipes using PyMC3
A python library for Bayesian time series modeling
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Add a description, image, and links to the bayesian topic page so that developers can more easily learn about it.
To associate your repository with the bayesian topic, visit your repo's landing page and select "manage topics."