Search Results for "qt data visualization" - Page 49
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Showing 3881 open source projects for "qt data visualization"
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Spectral Python
A python module for hyperspectral image processing
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. -
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Phoenix LiveDashboard
Realtime dashboard with metrics, request logging, plus storage, OS
Phoenix LiveDashboard is an interactive monitoring and debugging tool for Elixir applications, integrated directly into Phoenix. It offers real-time insights into system metrics such as memory, CPU, and process activity, as well as introspection of applications, supervision trees, and running processes. Built on top of Phoenix LiveView, it updates dashboards live without requiring page reloads. Developers can drill into request logs, Ecto queries, and telemetry events to diagnose performance... -
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AstroPictureSimulator
Simulate sensor output of astro pictures taken by telescope
This project aims at visualizing what a picture of a star will look like, depending on telescope, seeing conditions, settings of your astro camera etc. It simulates taking exposures of stars over a range of magnitudes and stacks them. -
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Strategems
Quantitative systematic trading strategy development and backtesting
Strategems is a Julia package aimed at simplifying and streamlining the process of developing, testing, and optimizing algorithmic/systematic trading strategies. This package is inspired in large part by the quantstrat1,2 package in R, adopting a similar general structure to the building blocks that make up a strategy. Given the highly iterative nature of event-driven trading strategy development, Julia's high-performance design (particularly in the context of loops) and straightforward... -
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VCTRenderer
A real time global illumination solution that achieves glossy surfaces
VCTRenderer is a real-time global illumination renderer built in C++ using Vulkan, leveraging voxel cone tracing (VCT) to achieve dynamic lighting, soft shadows, and indirect illumination. The renderer demonstrates cutting-edge rendering techniques aimed at achieving realistic lighting effects without precomputed data, making it ideal for games and interactive applications that need real-time performance with physically plausible lighting. It provides a clean implementation of voxelization... -
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Cubature.jl
One- and multi-dimensional adaptive integration routines for Julia
This module provides one- and multi-dimensional adaptive integration routines for the Julia language, including support for vector-valued integrands and facilitation of parallel evaluation of integrands, based on the Cubature Package by Steven G. Johnson. Adaptive integration works by evaluating the integrand at more and more points until the integrand converges to a specified tolerance (with the error estimated by comparing integral estimates with different numbers of points). The Cubature... -
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Machine Learning Homework
Matlab Coding homework for Machine Learning
The Machine-Learning-homework repository by user “Ayatans” is a collection of MATLAB code intended to solve or illustrate assignments in machine learning courses. It includes implementations of standard machine learning algorithms (such as regression, classification, etc.), scripts for data loading and preprocessing, and evaluation routines (e.g. accuracy, error metrics). Because it is structured as homework or practice material, the code is likely intended more for didactic use than for... -
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Code Surfer
Rad code slides
Code Surfer is a presentation tool for creating interactive code-focused slides in MDX Deck. It helps presenters explain code by adding highlighting, zooming, scrolling, focusing, and morphing between code states. The project is designed for technical talks, workshops, tutorials, and conference demos where static screenshots are not expressive enough. It lets authors wrap code blocks inside Code Surfer components and control how the audience moves through the code. This makes it easier to... -
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julia-mode
Julia support in Emacs
Emacs major mode for the Julia programming language. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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hrbrthemes
Opinionated, typographic-centric ggplot2 themes and theme components
hrbrthemes is a focused ggplot2 theme package with an emphasis on typography, layout precision, and visual polish. It includes themes like theme_ipsum and Font scales tailored for clean, high‑quality production graphics. -
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QTc66
Linux Qt application for reading the RD TC66
Linux Qt application for reading the Rui Deng TC66/TC66C USB Power Meter data and export it in CSV format. As manufacturer doesn't develop a Linux application for reading the device through USB, I've develop a simple one. It's based on the following projects: - https://github.com/Ralim/TC66C - https://github.com/kolinger/rd-usb This application has been made with QtCreator and depends on QtCharts library, so you must install it for compiling. -
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RL-Stock
Automated stock trading through a simulated training environment
RL-Stock is a reinforcement learning project that explores automated stock trading through a simulated training environment. It is written as an educational experiment rather than a financial product or investment recommendation system. The project includes scripts for collecting stock data, defining a reinforcement learning environment, training an agent, and visualizing results. It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository... -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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QuteScoop is a platform-independent status indicator for VATSIM. It's available for Windows, Mac and Linux. Visit its new development location https://github.com/qutescoop/qutescoop for current downloads and source code.
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The SBMLLayout Project provides libraries and tools for handling layout and render information of SBML Models. Supported are SBML Layout / Render Extension, CellDesigner annotations and JDesigner annotations.
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TensorWatch
Debugging, monitoring and visualization for Python Machine Learning
TensorWatch is an open source debugging and visualization platform created by Microsoft Research to support machine learning, deep learning, and reinforcement learning workflows. It enables developers to observe training behavior in real time through interactive visualizations, primarily within Jupyter Notebook environments. The tool treats most data interactions as streams, allowing flexible routing, storage, and visualization of metrics generated during model training. ... -
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SCiDA Pro
Program for solar cell production data analysis
The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages -
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Overlord
Providing automated and highly available caching service solutions
...Including apiserver, mesos framework&executor, cluster node task management job, etc. The web management interface, which is conveniently used for cluster management through dashboard visualization, including creation and deletion, expansion and contraction, addition and subtraction of nodes, etc. A data synchronization tool for redis-cluster, which can be serviced and work with apiserver. -
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An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from... -
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tikzcd-editor
A simple visual editor for creating commutative diagrams
A simple visual editor for creating commutative diagrams. -
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rDebug_qDebug
handy, more powerful re-implementation of qDebug for Qt 4.8 ... 5.x
...You can use qDebug( "printf mask %s","is worse"); or qDebug() << "streams" << "are more safe"; Or a mix of both. You can select between all 7 BSD-Syslog levels (plus "Silent" and "All"). A two-liner can send Qt SIGNAL with the data, time stamp, location and level to your QListWidget (or whatever). Another two-liner can write to file and use different log level filtering. For the start, some features of Qt5, like qDebug( &stream_device ) << "are not supported"; // and may never com -
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qlogtimeliner
Your application log analysis tool.
This tool helps with analysis multithreaded logs by visualising log events on a timeline. It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
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graphdot
Visualize Go module dependencies in Graphviz DOT format
Visualize Go module dependencies in Graphviz DOT format. Run graphdot in the directory of any project using Go modules with a go.mod file to print out a dependency graph in Graphviz DOT format. The output can be piped directly into dot to generate a PNG image file. For large graphs with many nodes of dependencies, you may want to generate an SVG file to allow you to zoom in with high fidelity and save disk space instead. If you like a more UML'ish style, you can use the provided graph...
