Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
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Updated
Aug 31, 2021 - Python
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Deep Neural Networks for Call Of Duty Modern Warfare 2019
🍊 📦 Frequent itemsets and association rules mining for Orange 3.
Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17
Generate a Work Breakdown Structure (WBS) report from a markdown file. A tool that improves software development estimates.
Minimal A/B Testing Library in PHP
Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
Cognitive Models for Subjective Scales and Decision Making Tasks in R
Measures what your Jev classifier's confidence is really worth, and sets the human hand-off line from what a mistake costs.
Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024
Supplementary material to reproduce "Multivariate Deep Evidential Regression"
Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients
Code for paper "Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators"
Magnitude of the Effect - An Effect Size and CI calculator
Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
🧠 A simple, fully documented neural network library created for educational purposes, heavily inspired by the `ai` package.
Use Jev everywhere to make & track decisions
An open source initiative to help students prepare for HR interviews.
The official PyTorch implementation for the Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
[ACL 2025] CER: Confidence Enhanced Reasoning in LLMs
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