A library for graph deep learning research
You may learn everything you want to know in this repository, concerning math, automation, computer science, and so on.这是一个致力于构建以数理知识为根基的，包含一切的库(Learn Everything！)涵盖自动化的学习，自动控制原理、数学、物理、电机、建模......持续更新中！
This is a plugin for obsidian, to visualize files and tags as nodes in 3D graph.
Visualize your vault in 3D with a powerful, highly customizable, and filterable graph.
Query and visualize knowledge graphs
Super Calculator is all in one calculator with 21 Different calculators of Mathematics, Financial, Graphing, Conversion, Password and QR Generator and some miscellaneous Calculators with with Pure Javascript.
3D InteractiveBar Chartis a Unity scripting GUI package you can utilize to create and design bar-charts. The GUI package offers a broad spectrum of effects and animations you can utilize to present data – including the ability to be utilized for Virtual Reality.
2D & 3D Graph drawing with Fruchterman-Reingold Algorithm & optimised by Barnes Hut Algorithm in C++
Interactive 3D Network Visualization for Graphs
Demo about 3D Graph (scatter 3d) This project is example of highcharts-react-native, it includes of react-native-plotly
AI-powered knowledge base on a USB stick. 3D graph, markdown wikilinks, works with Claude Code & OpenCode. Zero install, fully portable.
Generates 3D graphs of terrain elevation, heatmaps based on the regolith temperature, thermal imaging representations of the surfaces, shortest paths, and top views of the terrain.
Получение ВЭКГ на основе ЭКГ (CLI интерфейс приложения)
code and difference of resolution for visualizing the loss landscape of a GAN and understanding what a loss landscape is
WiFi-SignalStrength app for tracking signal strength; WiFi-Sniffer;
Advanced graph view for Obsidian — 3D visualization, clusters, semantic links.
Running Pose Estimation involves detecting and tracking the key landmarks or points on a person's body in an image or video. The goal is to understand and analyze the body's pose, movements, and gestures, which can be valuable for various applications.
Efficient yoga pose estimation is a critical enabler for enhancing precision and performance in wellness and fitness applications. Advancements in computer vision and machine learning are driving remarkable progress in this domain.
The number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment.
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