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

📊 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"

Fine-tuned roberta-base classifier on the LIAR dataset. Aaccepts multiple input types text, URLs, and PDFs and outputs a prediction with a confidence score. It also leverages google/flan-t5-base to generate explanations and uses an Agentic AI with LangGraph to orchestrate agents for planning, retrieval, execution, fallback, and reasoning.

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

Calculates the total output of a system of firm power plants. Given the power and availability of each plant and the desired confidence score. Based on the law of total probability. Optimises for cost.