Awesome GitHub RepositoriesNumerical Data Plotting

This project is a collection of optional, community-contributed algorithms and specialized vision tools that extend the core OpenCV framework. It serves as a comprehensive library of extra modules for computer vision research, providing advanced toolsets for image processing, visual data analysis, and object detection. The library includes specialized frameworks for augmented reality tracking, biometric face recognition, and three-dimensional pose estimation. It provides distinct capabilities for identifying AR markers, tracking 3D object silhouettes, and performing neural network vulnerabili

FTXUI is a C++ terminal user interface library and cross-platform console framework used for building interactive command line applications. It functions as a declarative terminal layout engine and a component-based UI toolkit that enables the creation of responsive interfaces. The library is distinguished by its terminal graphics and animation capabilities, allowing for the rendering of custom shapes, data plots, and smooth visual transitions using easing functions. It provides a comprehensive set of interactive widgets and a layout system utilizing flexbox and grid containers that adapt to

VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme

LearnPython is a programming tutorial consisting of a collection of practical code examples used to demonstrate Python language features and programming patterns. It serves as a comprehensive learning resource that implements core language concepts through functional code. The project provides specialized guides and samples covering several key domains. These include asynchronous network programming with event loops and coroutines, data visualization using numerical datasets for 2D and 3D plots, and web scraping for fetching content and automating login flows. It also features instructions on

Dieses Projekt ist ein Lehrplan für Machine Learning und eine Lernplattform, die über interaktive Jupyter Notebooks bereitgestellt wird. Es dient als umfassender Leitfaden zur Beherrschung des Python-Data-Science-Toolkits und bietet strukturierte Tutorials für numerisches Rechnen, Manipulation tabellarischer Daten und statistische Visualisierung. Der Lehrplan enthält spezifische Implementierungsleitfäden für Scikit-Learn und einen praktischen Kurs zu TensorFlow für den Aufbau, das Training und das Deployment neuronaler Netze und Computer-Vision-Modelle. Er deckt den End-to-End-Prozess des Aufbaus prädiktiver Modelle ab, von der anfänglichen Problemformulierung und Aufgabenkategorisierung bis hin zum Deployment der Modelle über interaktive Weboberflächen. Das Projekt deckt ein breites Funktionsspektrum ab, einschließlich numerischem Rechnen mit mehrdimensionalen Arrays, explorativer Datenanalyse und Datenvorverarbeitungsroutinen. Es bietet detaillierte Workflows für überwachtes und unüberwachtes Lernen, automatisierte Machine-Learning-Pipelines, Hyperparameter-Optimierung und Modellbewertung mittels Klassifizierungsmetriken und Kreuzvalidierung. Der Bildungsinhalt ist als eine Reihe von Notebooks strukturiert, die Python-Code mit narrativen Erklärungen verknüpfen, um Data-Science-Workflows zu dokumentieren.

Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a concise JSON specification into a full Vega visualization, automatically inferring scales, axes, and legends from encoding declarations. The grammar-of-graphics encoding maps data fields to visual channels such as position, color, size, and shape, while a multi-view composition grammar enables layered, faceted, concatenated, and repeated layouts. Reactive parameter binding links named parameters to input widgets, selections, and expressions for dynamic updates. The project suppo

Plotters is a data visualization library for the Rust programming language used to create 2D and 3D charts, plots, and mathematical visualizations. It functions as a multi-backend rendering engine and coordinate mapping framework that translates raw data values into pixel coordinates through customizable chart contexts. The library distinguishes itself through its ability to export graphics to multiple formats, including SVG, BitMap, and HTML5 canvas. It provides specific capabilities for 3D graphics plotting, featuring adjustable camera viewpoints and projection matrices to manage spatial da