#Bayesian
Showing 24 of 24 repositories tagged #bayesian, ranked by stars
Deep universal probabilistic programming with Python and PyTorch
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
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A general-purpose probabilistic programming system with programmable inference
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
PyTorch implementation of bayesian neural network [torchbnn]
Python package for Bayesian Machine Learning with scikit-learn API
Bayesian Deep Learning: A Survey
bayesplot R package for plotting Bayesian models
Open-source Bayesian trading AI agent for prediction markets.
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
A Python package for building Bayesian models with TensorFlow or PyTorch
Minimal standalone example of diffusion model
Bayesian models to compute performance and uncertainty of returns and alpha.
A repository for recording the machine learning code
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Bayesian network plot for the enrichment analysis results
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
Bayesian fitting package
TabPFGen: Synthetic Tabular Data Generation with TabPFN
Entropy Pooling in Python with a BSD 3-Clause license.
Memory for AI agents that never leaves your device. Local-first, end-to-end-encrypted, zero-telemetry memory engine (Rust, MCP) — gives Claude & any MCP client persistent cross-session memory.
Computational simulation framework for analyzing trading behavior in climate prediction markets
Bayesian nonparametric models for python