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.
slavabars / decision-cascade
Local decision engine with typed, calibrated outputs (Noul/Choice/Score): cheapβstrong cascade, ECE/Brier calibration, SystemOne protocol interop. Apache-2.0.
sktime / pytorch-forecasting
Time series forecasting with PyTorch
stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
google / uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
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.
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
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
StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
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.
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)
mikker / fut
fear, uncertainty and ... terminals
apromisedland / Tame_3D
Tame3D research framework: evidence-grounded multi-agent 3D reasoning with scene-level conformal uncertainty alignment
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
uczltw6 / trace-file-lineage
Find which script, notebook, data, command, or AI agent produced a file β locally, with evidence and honest uncertainty.
khoavpt / Probabilistic-matching
[WACV 2027] Semi-Dense Matching Uncertainty Is Not Just Local Confidence π―
nayakbhupen / Spnda
Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)
zencefilefendi / kadi
βοΈ KadΔ± β a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (β€ Ξ± disagreement with the oracle); everything else escalated and learned from. Zero-dependency Python.
RaycarlLei / tool-journal
TypeScript execution journal for retryable tools: SQLite durability, lease fencing, explicit uncertainty, and reproducible crash tests.