Search Results for "graphs" - Page 14
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Showing 1004 open source projects for "graphs"
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Rickshaw
JavaScript toolkit for creating interactive real-time graphs
Rickshaw provides the elements you need to create interactive graphs, renderers, legends, hovers, range selectors, etc. You put the pieces together. It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. Customize all you like with techniques you already know. Rickshaw is free and open source, available under the MIT license. Developed at Shutterstock. Rickshaw relies on the fantastic D3 visualization library to do lots of the heavy lifting for stacking and rendering to SVG. ... -
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Simplify
Android virtual machine and deobfuscator
...It works even if some values are unknown, such as file and network I/O. For example, any if or switch conditional with an unknown value results in both branches being taken. Analyzes the execution graphs from smalivm and applies optimizations such as constant propagation, dead code removal, unreflection, and some peephole optimizations. These are fairly simple, but when applied together repeatedly, they'll decrypt strings, remove reflection, and greatly simplify code. It does not rename methods and classes. -
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PHP CODE GENERATOR
THIS IS A PHP SYSTEM THAT GENERATES CODES,
THIS SYSTEM CAN BE USED FOR QUICK DEVELOPMENT OF PHP SYSTEMS -IT CAN BE USED TO MAKE CRUD CODES -GENERATE GRAPHS -GENERATE CODES TO IMPLEMENT LOGIN FOR USERS ETC REQUIREMENETS - PHP SERVER SUCH AS XAMPP, WAMP, LARAGON ETC -WEB BROWSER EG CHROME, FIRE FOX -
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Literature of Deep Learning for Graphs
A comprehensive collection of recent papers on graph deep learning
Literature of Deep Learning for Graphs is a curated repository that collects research papers and educational resources related to deep learning methods for graph-structured data. The project organizes important academic work covering topics such as graph neural networks, graph embeddings, knowledge graphs, and network representation learning. By structuring the literature into categories, the repository allows researchers to quickly identify influential papers in specific subfields of graph machine learning. ... -
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Piko stats
Piko solar inverter data communicator and manager
Piko solar inverter interface. Get online real time data and status. Get also history data. Database management of data. Exports, graphs, ... Manage data and stats using a SQLite or MySQL database. Third party intergration. See the Wiki home page for more informations. -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. ... -
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graphdot
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 properties from uml.gprops. -
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Sampler
Tool for shell commands execution, visualization and alerting
Sampler is a real-time monitoring dashboard that allows developers to track various metrics, system information, and custom data sources via a terminal interface. -
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Miasm
Reverse engineering framework in Python
...Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout does not always totally conform with a reverse engineering “ideal view”, so please be tolerant of those odd graphs. Miasm is not the first tool to implement this feature. But, well, as the tool already had everything needed to implement DSE, it was just a matter of time before these features landed in the main branch. -
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OpenData
Open source coronavirus 2019 sample application using open data
Open source software using open data with template code to demonstrate getting open government data such as the coronavirus 2019 (COVID-19). It takes data in feed format such as CSV, JSON, etc. to process maps, pie charts, line/bar graphs, HTML table that can be copied and pasted to spreadsheets such as Excel. The purpose is to provide template code to access open data readily available from official government websites useful for regional data analysis, latest information at a glance with data visualisation, etc. Sample includes region like Australia, Austria, Belgium, Brazil, Canada, Chile, Czechia, Denmark, Estonia, Europe, Finland, France, Germany, Greece, Hong Kong, Iceland, Indonesia, Ireland, Israel, Italy, Japan, Luxembourg, Macau, Malaysia, Netherlands, Norway, Korea, Philippines, Poland,Portugal,Qatar,Romania,Saudi Arabia,Singapore,Slovenia,Spain,Sweden,Switzerland,Taiwan,Thailand,United Kingdom,United States of America,etc. with various data such as face mask maps, and more. -
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MothurR
This program mainly produces R scripts using Mothur result files.
The program generates R scripts to draws line/bar graphs using Mothur diversity and classification files, to calculate Shannon indexes, to perform PCA, Mann-Whitney U test, and pMANOVA test. -
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Pigale is a graph editor and a C++ algorithm library essentially concerned with planar graphs. This software, particularly intended for graph theoretical research, includes new algorithms based on our recent theoretical researches.
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nodejs-dashboard
Telemetry dashboard for node.js apps from the terminal
...The tool can be injected into applications with minimal or no code changes by using Node’s preload flag, making adoption straightforward for developers. Its interface uses Unicode Braille characters to render compact graphs directly in the terminal, creating a highly responsive visual experience. nodejs-dashboard is primarily aimed at local development and debugging rather than production observability, helping engineers quickly identify performance bottlenecks. Although the repository is now archived, it remains a useful lightweight option for developers who prefer terminal-native telemetry during Node.js development workflows. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions, negative sampling strategies, and typed entities, making it suitable for link prediction and retrieval. ... -
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TestRest
TestRest is a fully QA Management Tool
TestRest is Test Management offers test case authoring, reusable test cases, test execution and reporting. TestRest supports statistic and graph reports with simple modern UI interfaces. -
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bluehair2_gl02
GL02_sujet B A tool to help analyze mails
The consulting firm UIConsult wishes to have a tool to help analyze the communications of its teams of collaborators. This analysis is produced in a report form called Rcom. General speaking, this program will be able to read a large number of communication data, create graphs and export them to help the team leader produce the RCom. -
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The Badass Analys'It
The aim is to extract list(s) of tweets from files.
The aim is to extract lists of tweets from a database depending on different parameters : number of retweets, authors, etc. Also, the software allows to extract list of tweets and graphs. -
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VivaGraph
Graph drawing library for JavaScript
...VivaGraphJS is modular, so you can extend or customize layouts, rendering, and interaction logic to fit specialized applications such as social network analysis, dependency mapping, or knowledge graphs. -
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Incremental DOM
An in-place DOM diffing library
Incremental DOM is a lightweight library for building DOM trees by issuing imperative update instructions, avoiding heavyweight virtual DOM diffing at runtime. Instead of creating and diffing large object graphs, templates compile to a sequence of function calls that “patch” the live DOM in place. This model eliminates allocations associated with virtual trees and allows updates to be streamed directly to the DOM, which can improve memory usage and reduce GC pressure. It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. ... -
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King Phisher
Phishing Campaign Toolkit
King Phisher is an open source tool that can simulate real world phishing attacks. It has an easy-to-use, flexible architecture that allows for full control over both emails and server content. It is useful for running awareness campaigns and training, and can only be used for legal applications when the explicit permission of the targeted organization has been obtained. -
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TI2BioP allows mainly the calculation of topological indices (spectral moments) derived from inferred and artificial 2D structures of DNA, RNA and proteins being possible to carry out a structure-function correlation irrespective of sequence alignments. TI2BioP version 3.0 is a python platform with a graphical interface designed for Windows, Linux and Mac OS.
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distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Research
distribution-is-all-you-need is a Python-based probability tutorial aimed at deep learning researchers and students. It explains common discrete and continuous distributions through short scripts, formulas, descriptions, and plotted graphs. Covered topics include uniform, Bernoulli, binomial, categorical, multinomial, beta, Dirichlet, gamma, exponential, Gaussian, normal, chi-squared, and Student's t distributions. The material highlights relationships such as conjugate priors and special-case distributions. Examples connect probability functions with machine learning concepts including binary and multiclass cross-entropy. ... -
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NetBeans Modules Dependencies
Display NetBeans Module Dependencies
...Originally meant only to display module dependencies of NetBeans Rich Client Platform applications, thanks to the platform itself, it can display dependencies of "plain" and Maven-based Java projects. To display the dependencies, a new action is made available in the 'Source' menu and in the toolbar. The generated graphs can be saved as images or exported in PlantUML or Gephi formats. -
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TensorFlow Haskell
Haskell bindings for TensorFlow
The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. ... -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
