Bayesian
Showing 9 of 9 projects
A flexible, scalable deep probabilistic programming library built on PyTorch for universal probabilistic modeling.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal representation of computable probability distributions.
A Python library for exploratory analysis, diagnostics, and visualization of Bayesian models.
A Python package providing Bayesian machine learning algorithms with a scikit-learn compatible API.
A curated collection of resources for Artificial General Intelligence and Computational Cognitive Sciences, covering papers, tools, and researchers.
A Clojure library for high-performance Bayesian data analysis and machine learning on the GPU.
An open-source machine learning library for regression tasks using the Relevance Vector Machine (RVM) technique.
A naive Bayesian classifier implemented in APL for probabilistic text classification between two groups.
A machine learning game that asks questions to guess objects using Bayesian inference and entropy minimization.
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