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"

Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024

Supplementary material to reproduce "Multivariate Deep Evidential Regression"

Magnitude of the Effect - An Effect Size and CI calculator

Code for paper "Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators"

🧠 A simple, fully documented neural network library created for educational purposes, heavily inspired by the `ai` package.

An open source initiative to help students prepare for HR interviews.

A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.

A suite of tests to assess attention faithfulness for explainability

The official PyTorch implementation for the Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence

I implemented the reinforcement learning based model Upper Confidence Bound in both Python and R

[ACL 2025] CER: Confidence Enhanced Reasoning in LLMs

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/