AI Dev Impact Lab JA
← Topics ranking · 2026-08
GITHUB TOPIC

#uncertainty-quantification

GitHub repositories that have self-applied the topic "uncertainty-quantification" — a creator-tagged metadata that surfaces how AI projects describe themselves.

3
tagged repos
1
top 3 stars
0
with tool sigs
3
shown

REPOS Repos for #uncertainty-quantification (top 3 by stars)

Xitral/beacon-space-ai

Trustworthy AI for satellite conjunction triage using calibrated ML, Bayesian logistic regression, and uncertainty-aware escalation on public CDM data.

Python 1 AI 100
Hert4/LLM-Certainty-Consistency

Backend-agnostic black-box hallucination & RAG-faithfulness detection for LLMs — Probabilistic Certainty & Consistency (arXiv:2601.02574). Works on MLX / OpenAI / vLLM via token logprobs; no model internals, no training.

Python 0 AI 90
leo-im/entropy-lens

Token-level entropy trajectories from LLM logprobs. Models can measure their own uncertainty — grounding it in truth requires external verification.

Python 0 AI 70

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Aggregated by case-insensitive match against topics_json of each repo's latest content snapshot. methodology