slavabars / decision-cascade

Local decision engine with typed, calibrated outputs (Noul/Choice/Score): cheap→strong cascade, ECE/Brier calibration, SystemOne protocol interop. Apache-2.0.

gempy-project / gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

Heman10x-NGU / openJev-verdict-2.0

Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)

stanfordmlgroup / ngboost

Natural Gradient Boosting for Probabilistic Prediction

sktime / pytorch-forecasting

Time series forecasting with PyTorch

cvs-health / uqlm

[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification

SALib / SALib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

mjskay / ggdist

Visualizations of distributions and uncertainty

StatMixedML / XGBoostLSS

An extension of XGBoost to probabilistic modelling

mikker / fut

fear, uncertainty and ... terminals

Heman10x-NGU / Verdict-open-jev

Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground

google / uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

jxzhangjhu / Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

ENSTA-U2IS-AI / awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

ntucllab / libact

Pool-based active learning in Python

vincentarelbundock / marginaleffects

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

JuliaPhysics / Measurements.jl

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

uczltw6 / trace-file-lineage

Find which script, notebook, data, command, or AI agent produced a file — locally, with evidence and honest uncertainty.

khoavpt / Probabilistic-matching

[WACV 2027] Semi-Dense Matching Uncertainty Is Not Just Local Confidence 🎯

nayakbhupen / Spnda

Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)

zencefilefendi / kadi

⚖️ Kadı — a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (≤ α disagreement with the oracle); everything else escalated and learned from. Zero-dependency Python.

apromisedland / Tame_3D

Tame3D research framework: evidence-grounded multi-agent 3D reasoning with scene-level conformal uncertainty alignment

RaycarlLei / tool-journal

TypeScript execution journal for retryable tools: SQLite durability, lease fencing, explicit uncertainty, and reproducible crash tests.

j1s4nn / jev-adaptive-granularity-WM

Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.