probabilistic-reasoning

a python framework to build, learn and reason about probabilistic circuits and tensor networks

Probabilistic Circuits from the Juice library

Squared Non-monotonic Probabilistic Circuits

oPIEC: Online Event Recognition over Noisy Data Streams using the Event Calculus

Is Comples Query Answering Complex?

Data and software artifacts for the EMNLP 2024 (Main) paper "What Are the Odds? Language Models Are Capable of Probabilistic Reasoning"

Online Probabilistic Interval-based Event Calculus

A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data

Sage is an intuitive system that uses advanced probability and information theory to refine questions and pinpoint answers. Ideal for enhancing customer service, diagnosing medical conditions, or playing 20 questions, Sage is versatile and adaptable for any set of questions and answers.

Probing handling of verbal probabilities in NLP models

Pure, dependency-free Subjective Logic library for Python: opinions, Beta evidence, and multi-source belief fusion

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.

Evidence-grounded AI incident investigation with deterministic probability, governed remediation, and independent recovery verification.

DOGA (by @0z1-ghb) fork, adding Jev response contracts to Hermes with OpenRouter primary and TypeSafe fallback.

Probabilistic heart disease diagnosis using a Bayesian Network ; interpretable probability estimates with sensitivity analysis and comparison against XGBoost.

A logic engine and persona bootloader for LLMs (validated on Gemini 3) designed to bypass consensus bias through rigorous inquiry. Using a 4-Axiom hierarchy (Data, Scope, Mechanism, Probability), it enables human-AI symbiosis to preserve persistent logic across sessions.

Explainable, replayable cognition engine that turns event streams into auditable probabilistic beliefs using LLM perception and deterministic belief updates.

Grid navigating AI agent with A* pathfinding and Bayesian sensor fusion for partially observable environments.

CLI tool for tracking and improving probabilistic predictions

A from-scratch exact Bayesian-network inference engine (Enumeration-Ask, no probabilistic-reasoning library) in C#, wrapped in a Blazor WebAssembly + ASP.NET Core app for building networks and querying them in the browser