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)

🏠 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.

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models

Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/

Confidence scores for Neural Networks, made easy!

Repository of the Confidence Information Ontology (CIO)

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

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"

Attribution based Confidence for deep neural networks

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

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.

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.

Sale price prediction project of London properties using XGBoost Regression.

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

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

Data analysis learning