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Oct 22, 2024 - Python
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bayesian-reasoning
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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.
machine-learning machine-learning-algorithms pgm inference bayesian-network probabilistic-programming bayesian-inference bayesian-networks probabilistic-graphical-models bayesian-machine-learning markov-networks probabilistic-reasoning markov-network bayesian-reasoning
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Jan 3, 2026 - Python
Clinical reasoning likelihood-ratio workflows for LLM diagnostic-reasoning evaluation
python reproducible-research medical-education likelihood-ratios bayesian-reasoning large-language-models clinical-reasoning llm-evaluation diagnostic-reasoning
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Jun 5, 2026 - Python
A practical guide to probabilistic thinking, Bayesian reasoning, and better predictions
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Feb 23, 2026
MimirBench: synthetic evals for strategic reasoning under uncertainty, real-model leaderboards, robustness probes and mechanistic interpretability on trained transformer agents.
transformer agents ai-safety robustness synthetic-data bayesian-reasoning mechanistic-interpretability evals llm-evaluation strategic-reasoning
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Jun 13, 2026 - Python
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