155 Open source projects that are alternatives of or similar to pre-training

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

NIPS Adversarial Vision Challenge

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark

A Closer Look at Accuracy vs. Robustness

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

automatic sub-pixel checkerboard / chessboard / deltille pattern detection

Comparing a OpenCV's reprojectImageTo3D to my own

A library for uncertainty quantification based on PyTorch

A random forest

A simple way to calibrate your neural network.

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Uncertainty-aware principal component analysis.

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

Generator of test video files for testing your media playback devices and calibrate TV sets

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

calibration for Imu and show gesture

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

Automated, hardware-independent Hand-Eye Calibration

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

Sampling nuclear data and uncertainty

Intensity-based_Lidar_Camera_Calibration

Object Oriented Modular Abstract Calibration Toolbox

Generic calibration for robots

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

Bring augmented reality to Unity by tracking Aruco markers in real time.

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A suite of tools focused on calibration of sensors for robotic workcell development

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

MADS: Model Analysis & Decision Support

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Model data as beliefs (at a certain time) about events (at a certain time).

General hand-eye calibration based on reprojection error minimization and pose graph optimization

BioSTEAM's Premier Repository for Biorefinery Models and Results

A ROS package tool to analyze the IMU performance.

Open-source software for self-driving vehicles

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Deep learning AI, that recognizes when are people uncertain

Query and change Linux monitor settings using DDC/CI and USB

A multi-sensor capture system for free viewpoint video.

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

The Python Toolbox for Robotics

Light-field imaging application for plenoptic cameras

A collection of research and application papers of (uncertainty) calibration techniques.

Motion Based Multi-Sensor Extrinsic Calibration

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

The Kalibr visual-inertial calibration toolbox

Calibration guide for the Dell S2716DG and S2716DGR to get the best picture quality and colors

Implemention of Fast Gradient Sign Method for generating adversarial examples in Keras

Recentrifuge: robust comparative analysis and contamination removal for metagenomics

[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty