Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

An open source tool to quantify the world

IntelliJ IDEA, PyCharm, RubyMine, PhpStorm, AppCode, AndroidStudio, Goland, Rider, & WebStorm plugin for quantifying your coding.

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

Quantified Self Personal Data Aggregator and Data Analysis

A Library for Uncertainty Quantification.

🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

Near-optimal RNA-Seq quantification

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Yet another high-performance C++ regex library and lexical analyzer generator like Flex: extends Flex++ with Unicode support, indent/dedent anchors, lazy quantifiers, functions for lex and syntax error reporting and more. Seamlessly integrates with Bison and other parsers.

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Transcript assembly and quantification for RNA-Seq

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

RSEM: accurate quantification of gene and isoform expression from RNA-Seq data

Chaospy - Toolbox for performing uncertainty quantification.

A collection of awesome projects, blog posts, books, and talks on quantifying risk

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

Turn reference UIs (images, screenshots, URLs) into quantified Design DNA JSON—tokens, qualitative style, visual effects—then generate matching UI from your content.

Code for the paper "Quantifying Transfer in Reinforcement Learning"

Uncertainty quantification with PyTorch

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

An API of Ice And Fire is the world's greatest source for quantified and structured data from the universe of Ice and Fire (as well as the HBO series Game of Thrones).

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data

Probabilistic modelling and uncertainty quantification library

A happy Mac keylogger for Quantified Self purposes.

SUPPA: Fast quantification of splicing and differential splicing

Proteomics search & quantification so fast that it feels like magic

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Quantify the difference between two arbitrary curves in space