confidence-score

[JMLR 2026] "UQLM: A Python Package for Uncertainty Quantification in Large Language Models"

📊 The official Python implementation of the ColinTalksCrypto Bitcoin Bull Run Index (CBBI)

Confidence scores for Neural Networks, made easy!

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models

🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.

Free WordPress Plugin: Calculate the exact sample size and margin of error for your next survey or study. Use our free Sample Size Calculator for statistically accurate results. www.calculator.io/sample-size-calculator/

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

API for the browser extension. The API computes scores and stores result in a DB

Repository of the Confidence Information Ontology (CIO)

🧠 URDU-OCR-CNN – an AI-powered handwritten Urdu recognition system (Urdu Alphabets + Urdu Digits) built using a custom Convolutional Neural Network (CNN). Supports 🖼️ image upload and ✏️ live canvas input, provides ⚡ real-time predictions with 📊 confidence scores, achieves 🎯 95%+ accuracy, and includes tools for model training and evaluation.

code for "Empirical confidence estimates for classification by deep neural networks"

Author's Implementation of the paper "Verification of Neural Networks: Specifying Global Robustness using Generative Models"

Displays a confidence score about an article that has been submitted to the extension.

Attribution based Confidence for deep neural networks

Code for paper the "Distance-Ratio-Based Formulation for Metric Learning"

Multi-agent fake news detection system built on a fine-tuned RoBERTa classifier with FLAN-T5 explanations, prompt-injection sanitisation on scraped content, heuristic hallucination-risk scoring, parallelized fallback search, and a human review queue that tracks model versus human agreement.

Sale price prediction project of London properties using XGBoost Regression.

Measuring the Confidence of the k-Nearest Neighbors Algorithm developed in Python for Visualizing the 3D Stratigraphic Architecture of the Llobregat River Delta in NE Spain

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Relying Party API for document analyzing with the help of confidence score and correlation score