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Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

A general classifier module to allow Bayesian and LSI classifications.

Bayesian Modeling and Probabilistic Programming in Python

Bayesian haplotype-based genetic polymorphism discovery and genotyping.

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

A python library for Bayesian time series modeling

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Bayesian optimization in PyTorch

A Python package for building Bayesian models with TensorFlow or PyTorch

Domain Elastic Transform / Bayesian Coherent Point Drift

Bayesian IRT models in Python

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

Bayesian Optimization and Design of Experiments

Official code for NeurIPS 2025 paper "AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise"

Bayesian git bisect

The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives. Memories evolve on their own. MCP-native. Single binary.