Search Results for "calibration"
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Showing 176 open source projects for "calibration"
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Uncertainty Baselines
High-quality implementations of standard and SOTA methods
...Techniques include deep ensembles, Monte Carlo dropout, temperature scaling, stochastic variational inference, heteroscedastic heads, and out-of-distribution detection workflows. Each baseline emphasizes reproducibility: fixed seeds, standard splits, and strong metrics such as calibration error, AUROC for OOD, and accuracy under shift. -
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Orca Core
Core Python Controller of the ORCA Hand
...It provides a high-level abstraction layer over the underlying hardware, allowing developers to interact with the robotic system through simplified joint-space commands rather than low-level motor instructions. The software includes a suite of scripts for calibration, tensioning, and positioning, ensuring that the physical hand operates accurately and consistently across different configurations. It is designed to integrate seamlessly with hardware models defined through configuration files, enabling flexible deployment across variations of the ORCA Hand. The framework also supports real-time control and testing, allowing users to connect to the device, enable torque, and issue precise joint movement commands programmatically. -
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The FreeMoCap Project
Free Motion Capture for Everyone
...It processes synchronized video feeds to reconstruct skeletal motion, which can then be exported for animation, biomechanics research, or creative projects. FreeMoCap includes tools for calibration, recording, processing, and visualization, allowing users to move from raw footage to structured motion data within a single ecosystem. Because it is open and extensible, researchers and developers can adapt the pipeline for specialized motion analysis or integrate it into animation workflows. -
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ConformalPrediction.jl
Predictive Uncertainty Quantification through Conformal Prediction
...Intuitively, CP works under the premise of turning heuristic notions of uncertainty into rigorous uncertainty estimates through repeated sampling or the use of dedicated calibration data. -
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Meridian
Meridian is an MMM framework
...The framework provides a robust foundation for constructing in-house MMM pipelines capable of handling both national and geo-level data, with built-in support for calibration using experimental data or prior knowledge. Meridian uses the No-U-Turn Sampler (NUTS) for Markov Chain Monte Carlo (MCMC) sampling to produce statistically rigorous results, and it includes GPU acceleration to significantly reduce computation time. -
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Intel RealSense
Intel® RealSense SDK
Intel® RealSense™ SDK 2.0 is a cross-platform library for Intel® RealSense™ depth cameras. The SDK allows depth and color streaming and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (point cloud, depth aligned to color and vise-versa), and built-in support for recording and playback of streaming sessions. Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer be available for new orders. ... -
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AlDente
Menubar Tool to set Charge Limits and Prolong Battery Lifespan
AlDente is a MacBook battery-care app designed to extend battery lifespan by letting you set smart charge limits and monitor health over time. Instead of always charging to 100%, you can cap the maximum percentage so the battery spends less time at high voltage—one of the biggest contributors to wear. A compact menu-bar UI exposes live status, charge target, temperature, and optional protections like pausing charging when the laptop runs hot. Advanced modes help with real-world workflows:... -
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ESPectre
Motion detection system based on Wi-Fi spectre analysis (CSI)
ESPectre is an open-source motion detection system that transforms ordinary Wi-Fi signals into an ambient sensor capable of detecting movement without using cameras, microphones, or additional radio hardware, making it a privacy-preserving and cost-effective alternative for presence sensing and smart home automation. At its core, it analyzes Wi-Fi Channel State Information (CSI) — detailed measurements of how Wi-Fi waves change as they propagate — to mathematically detect disturbances caused... -
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Mitiq
Mitiq is an open source toolkit for implementing error mitigation
Mitiq is a Python toolkit for implementing error mitigation techniques on quantum computers. Current quantum computers are noisy due to interactions with the environment, imperfect gate applications, state preparation and measurement errors, etc. Error mitigation seeks to reduce these effects at the software level by compiling quantum programs in clever ways. -
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JavaCV
Java interface to OpenCV, FFmpeg, and more
...JavaCV also comes with hardware accelerated full-screen image display (CanvasFrame and GLCanvasFrame), easy-to-use methods to execute code in parallel on multiple cores (Parallel), user-friendly geometric and color calibration of cameras and projectors (GeometricCalibrator, ProCamGeometricCalibrator, ProCamColorCalibrator), detection and matching of feature points (ObjectFinder), a set of classes that implement direct image alignment of projector-camera systems (mainly GNImageAligner, ProjectiveTransformer, ProjectiveColorTransformer, ProCamTransformer, and ReflectanceInitializer), and more. -
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Map-Anything
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Map-Anything is a universal, feed-forward transformer for metric 3D reconstruction that predicts a scene’s geometry and camera parameters directly from visual inputs. Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses,... -
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Theseus
A library for differentiable nonlinear optimization
...Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost weights, feature extractors, or initialization networks end-to-end. The implementation supports batched optimization on GPU, robust losses, damping strategies, and custom factors, making it practical for real-time systems. ... -
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tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai
tsai is an open-source deep learning package built on top of Pytorch & fastai focused on state-of-the-art techniques for time series tasks like classification, regression, forecasting, and imputation. Starting with tsai 0.3.0 tsai will only install hard dependencies. Other soft dependencies (which are only required for selected tasks) will not be installed by default (this is the recommended approach. If you require any of the dependencies that is not installed, tsai will ask you to install... -
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Robyn
Experimental, AI/ML-powered and open sourced Marketing Mix Modeling
Robyn is an open-source, AI/ML-powered Marketing Mix Modeling (MMM) toolkit developed by Meta Marketing Science under the “facebookexperimental” GitHub umbrella. Its goal is to democratize rigorous MMM: what traditionally required expert statisticians and expensive consulting becomes accessible to any company with data. Robyn takes in historical data (spends on different marketing channels, conversions, or revenue, and optional context or organic-media variables) and uses a combination of... -
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SAGECAL
GPU/MIC accelerated radio interferometric calibration program
SAGECal is a very fast, memory efficient and GPU accelerated radio interferometric calibration program. It can handle all source models including points, Gaussians and Shapelets. It can calibrate along hundreds of directions without running out of memory in almost real time. Intel Xeon Phi acceleration is also available. Distributed calibration using MPI and consensus optimization is enabled. Also tools to build/restore sky models are included. -
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BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring
...The suite provides a common JSON task format and an evaluation harness so research groups can contribute new tasks and reproduce results consistently. It emphasizes robustness analysis—looking at scale trends, calibration, and areas where models systematically fail—to guide model development beyond raw accuracy. BIG-bench is as much a community process as a dataset, encouraging open sharing of tasks and findings to keep evaluations fresh and comprehensive. -
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KherveFitting
Fit X-ray Photoelectron Spectroscopy (XPS) and XAS data
...Various peak fitting models: Product and Sum of Gaussian and Lorentzian (GL & SGL), Voigt, Asymmetric Lorentzian (LA), Doniac-Sunjic (G*DS) and many more . Fit single peaks or doublets. Doublet splitting and RSF values are stored in a library file. Several intensity calibration available:TPP-2M, Scoffield, Wagner. Atomic concentration acurately calculated and matching with Thermo Avantage software. YouTube Channel: https://www.youtube.com/@xpsexamples-imperialcolleg6571 -
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Gwyddion
Scanning probe microscopy data visualisation and analysis
A data visualization and processing tool for scanning probe microscopy (SPM, i.e. AFM, STM, MFM, SNOM/NSOM, ...) and profilometry data, useful also for general image and 2D data analysis. -
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JWST MIRI and NIRCam imaging Pipeline
creates seamless mosaics from multiple exposures.
...Features Multi-instrument Support: Process both MIRI and NIRCam data Background Matching: Automatic background leveling across exposures Cosmic Ray Rejection: Advanced cosmic ray identification and removal Seamless Mosaicking: Create continuous field mosaics from dithered observations Source Extraction: Generate segmentation maps and source catalogs Calibration-ready: Works with JWST pipeline products (_cal.fits, _rate.fits) Memory Efficient: Handles large JWST datasets efficiently Installation Prerequisites Python 3.8 or higher JWST calibration pipeline 4GB+ RAM recommended for large mosaics Quick Install git clone https://github.com/tlcagford/JWST-Merge cd JWST-Merge pip install -r requirements.txt -
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Generic data-assimilation toolbox written in java, with native (c and fortran) libraries for high performance computing. Provides tools to couple to your own model and a wide range of algorithms, ranging from parameter calibration to Kalman filters.
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HYPE
hydrological model for simulation of water and water quality over time
Please go to project home (https://hypeweb.smhi.se/model-water/) or wiki-pages (http://hype.smhi.net/wiki/doku.php?id=start) for more information. The hydrological model HYPE is developed at the Swedish Meteorological and Hydrological Institute (SMHI). The model simulates water, nutrients and other substances in small and large river catchments. Included in the project is HYSS, which is needed to run the model. It handles input and output and the simuation over time. -
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LazyDS4
Transform your DualShock 4 into a native Xbox 360 controller. v2.1.0
...Optimized for simplicity and performance, it offers real-time input mapping with a ~1ms (1000Hz) polling rate, modern graphical interface with PyQt5, and automatic joystick calibration. 📌 What's New (v2.1.0) 🎨 Visual Overhaul — Modern, professional interface with gradient backgrounds and advanced styling 📐 Layout Optimization — Improved spacing, alignment, and responsiveness 🎉 Icon Integration — Consistent use of dynamic SVG icons throughout ⚡ Enhanced Button Design — Polished buttons with smooth animations and clear actions 📊 Responsive Interface — Adapted for various screen sizes without overlaps 🔔 Real-time Visual Indicators — Clear and immediate feedback for status, warnings, and battery levels Built by the lazy, for the lazy. -
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pfstools - a set of programs for reading, writing, manipulating and viewing high-dynamic range (HDR) images and video frames. pfscalibration - photometric calibration of cameras and HDR images from multiple exposures. pfstmo - tone mapping operators.
