#Calibration
Showing 26 of 26 repositories tagged #calibration, ranked by stars
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A Library for Uncertainty Quantification.
A physics-based multi-material FDM color system. Converts images to full-color 3D prints via calibrated light-transmission mixing. Supports 2-8 color systems with slicer-ready 3MF export (BambuStudio/OrcaSlicer).
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
[ICCV21] Self-Calibrating Neural Radiance Fields
Estimating pose using ArUCo Markers
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
sensor calibration tools for autonomous driving and robotics
This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.
High-performance quantitative finance in Rust — 120+ stochastic processes, option pricing, calibration, fixed income, risk & copulas, with SIMD/GPU acceleration and Python bindings.
Reliability diagrams visualize whether a classifier model needs calibration
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.
NumPy library for calibration metrics
Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.
SoccerNet@CVPR | 1st place solution for Camera Calibration Challenge 2023
Computer Vision And Neural Network with Xamarin
This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK.
Solving the inverse kinematics of a robotic arm is a necessary step whether it is a first-time installation or the configuration of the robotic arm is already changed. In this work, a machine learning-based approach for solving the inverse kinematic of a robotic arm with six degrees of freedom is presented.
Gaze Estimation Framework with Android Firebase
estimate the accuracy of a clock from a sound recording