Search Results for "edge"
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Showing 16 open source projects for "edge"
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GraphNeuralNetworks.jl
Graph Neural Networks in Julia
GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework Flux.jl. -
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ggraph
Grammar of Graph Graphics
ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data. -
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Finch.jl
Sparse tensors in Julia and more
Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code. -
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SQLPad
Web-based SQL editor run in your own private cloud
...The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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Social Network Visualizer
Social Network Analysis and Visualization software
Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder) -
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StellarGraph
Machine Learning on Graphs
StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can... -
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Flame Graphs
Stack trace visualizer
...The x-axis shows the stack profile population, sorted alphabetically (it is not the passage of time), and the y-axis shows stack depth, counting from zero at the bottom. Each rectangle represents a stack frame. The wider a frame is is, the more often it was present in the stacks. The top edge shows what is on-CPU, and beneath it is its ancestry. The colors are usually not significant, picked randomly to differentiate frames. Flame charts were first added by Google Chrome's WebKit Web Inspector (bug). While inspired by flame graphs, flame charts put the passage of time on the x-axis instead of the alphabet. -
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Excel to Graphviz
Create graphviz diagrams with excel
Free, easy to use, excel tool to create data and process flow diagrams with table data In separate excel sheets you define items(nodes), lines(edges) and grouping(clusters) Separate definition of node, edge and cluster styles Graph settings sheet Output control sheet Examples and readme are included in the zip file Get it working: -Install graphviz (http://graphviz.org/Download.php) -Download Excel to Graphviz -Open one of the ExcelToGraphviz workbooks -Go to sheet settings and update "dotpath" to where graphviz' dot.exe was installed (e.g. ... -
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Illustrated Algorithms
Interactive algorithm visualizations
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to... -
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Arcadia is a light-weight, cross-platform, C++ desktop application designed for visualizing biological networks such as metabolic pathways.
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MTF Calculator calculates the Modulation Transfer Function (MTF) of an edge image stored in DICOM format and allows the contents to be copied to the clipboard or saved to a Comma-Separated Values (CSV) file.
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HalfEdgeLib is a simple to use implementation of this popular data structure, which enables quick and easy adjacency queries, topologic verifiability and iterator-based traversals. Some geometric and topological manipulation algorithms are now available,
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A topological data structure to handle 2D simplicial meshes (using the Morse operators published by authors). This data structure is implemented using C++ and it is based on the classical Half-Edge. This code started in 2002 and it has been used in many
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Collision Detection, GUI Helpers, Edge Detection to Simple Console Parsing, SASlib takes your goals in hand.
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i3D-converter creates a 3D representation from a couple of images (or a pair of stereo images). This program also performs other Computer Vision operations such as, edge and corner detection, image filtering, getting geometric shapes,...
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