Search Results for "graph" - Page 18
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Showing 1424 open source projects for "graph"
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Glicol
Graph-oriented live coding language and music/audio DSP library
Glicol is a graph-oriented live coding language and audio engine designed for real-time music creation and digital signal processing, written entirely in Rust. It introduces a unique paradigm where audio synthesis and sequencing are represented as interconnected nodes, allowing developers and musicians to construct complex sound pipelines through declarative code. -
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QuickPlot
Simple user interface for gnuplot aimed for reflectometry data
...It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot. -
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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning
...It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scalable to many GPUs and machines. Apache MXNet is more than a deep learning project. It is a community on a mission of democratizing AI. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers. -
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PingGUI
Ping up to 8 hosts with graph
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NeoEloquent
The Neo4j OGM for Laravel
Neo4j Graph Eloquent Driver for Laravel. The service provider will register all the required classes for this package and will also alias the Model class to NeoEloquent so you can simply extend NeoEloquent in your models. The generated label from that relationship will be VinelabCmsAdmin, this is necessary to make sure that labels do not clash in cases where we introduce another Admin instance like Vinelab\Blog\Admin then things get messy with :Admin in the database. -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
...However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing what this book covers in general, I’d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. ... -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP). It provides both full implementations of state-of-the-art models for data scientists and also flexible interfaces to build customized models for researchers and developers with whole-pipeline support. Built upon highly-optimized runtime libraries including DGL , Graph4NLP has both high running efficiency and great extensibility. The architecture of... -
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HipMer
A High performance distributed memory assembler for big genomic data
...The MetaHipMer extension is a recent addition to HipMer that is geared to large metagenomes and leverages iterative kmer sizes and a specialized scaffolding algorithm to produce increased contiguity and accuracy in metagenomic assemblies. It is able to reconstruct rRNA elements via a separate algorithm which relies on reference SSU and LSU Hidden Markov Models to help traverse the contig graph around ribosomal RNA regions. For more information and publications visit the HipMer Portal (http://portal.nersc.gov/project/hipmer/) MetaHipMer is one component of the ExaBiome project (https://sites.google.com/lbl.gov/exabiome/home), part of the Exascale Computing Project: https://www.exascaleproject.org/ -
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mrtg
MRTG - Multi Router Traffic Grapher
...It generates HTML pages containing graphical representations (PNG images) of network traffic, providing visual insights into bandwidth usage over time. Originally developed to monitor router traffic, MRTG has evolved to graph various network devices and other metrics. -
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Awesome Explainable Graph Reasoning
A collection of research papers and software related to explainability
...Recently, explainability of deep models on images and texts has achieved significant progress. In the area of graph data, graph neural networks (GNNs) and their explainability are experiencing rapid developments. However, there is neither a unified treatment of GNN explainability methods, nor a standard benchmark and testbed for evaluations. In this survey, we provide a unified and taxonomic view of current GNN explainability methods. -
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Plumbing
Prismatic's Clojure(Script) utility belt
...For example, we can compile a Graph lazily so that step values are computed as needed. Or, we can parallel-compile the Graph so that independent step functions are run in separate threads. -
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ipycytoscape
A Cytoscape Jupyter widget
A widget enabling interactive graph visualization with cytoscape.js in JupyterLab and the Jupyter Notebook. -
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Hypertoniker
Program to make a neat graph of blood pressure and pulse
Program to make a neat graph of blood pressure and pulse. If you like you can save your data with the correct date in a .txt-file -
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MACE
Deep learning inference framework optimized for mobile platforms
...UI responsiveness guarantee is sometimes obligatory when running a model. Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. The core library tries to keep minimum external dependencies to keep the library footprint small. -
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Semagrams.jl
A graphical editor for graph-like structures
A graphical editor for graph-like structures based on Catlab. Legacy version built with typescript is in the legacy branch, and will not receive updates; new version with scala is now in the main branch. The core of Semagrams is just a library; in order to make it do things, one needs to create an "app" that uses it. Currently, the only app that is being developed is a Petri net editor, though this will soon change. -
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OBDGeek
configurable OBDII diagnostics software
...Users can create their own configurations of supported features based on car model, often used functions etc. Communication can be logged in both raw and decoded formats. Real time data can be displayed as progress-bars or in a graph. Recorded communication can be used for simulation - this way users can tune they configuration files at home without the necessity of connected car. The software is designed to be run on a PC (notebook). It is written in Java. Thanks to that, it can run on Windows, Linux and Mac OS machines. -
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BPYTOP
Linux/OSX/FreeBSD resource monitor
...Users can drill into a process list, sort by various metrics, view tree hierarchies, and quickly spot heavy resource consumers. The tool is highly configurable through both an in-app options menu and a detailed configuration file, allowing customization of themes, update frequency, graph types, temperature sensors, and which “boxes” (CPU, memory, network, processes) are shown. It supports temperature monitoring, per-core stats, I/O graphs, swap, battery information, and network auto-scaling, making it suitable for serious monitoring on laptops and servers alike. -
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Sourcetrail
Free and open-source interactive source explorer
...Use the search field to quickly find and select indexed symbols in your source code. The autocompletion box will instantly provide an overview of all matching results throughout your codebase. The graph displays the structure of your source code. -
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Awesome Decision Tree Papers
A collection of research papers on decision, classification, etc.
A collection of research papers on decision, classification and regression trees with implementations. -
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Protocol
Shelling point, coordination center and truth source for the proejct
The repo is a collection of mission-critical information on the Cyber project. The purpose of the repo is to form both social and technical consensus on the project. The technical is more about having a protocol spec that is possible to implement on any language. The social is more about the common vision aka shelling point for every involved party. -
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Test case generator
GUI based tool to generate test cases for competitive programmers
Test Case Generator (TCG) is opensource and easy to use gui based tool to generate test cases to use in competitive programming. The tool supports test cases for Array, String, Matrix, Graph and Palindrome. Installation - To run this tool, you will need JAVA JDK 8 or later version installed on your host machine. Download JAVA JDK 8 or above from here, if not already installed. - Download Test Case Generator - Double click the downloaded package to start the application. - For Linux/ Ubuntu make sure the package has execute permission; right click on the package, select properties, than select permissions tab and check Execute checkbox. ... -
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gml4gtk
small console GML or graphviz DOT graph viewer
directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph -
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GenReg
Generation of regular graphs
Efficient, complete and non-redundant generation of regular graphs as described in M. Meringer: Fast Generation of Regular Graphs and Construction of Cages. Journal of Graph Theory 30, 137-146, 1999.
