Search Results for "big data visualization" - Page 9
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Showing 554 open source projects for "big data visualization"
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Nearley
Simple, fast, powerful parser toolkit for JavaScript
Nearley is a powerful and flexible parser generator for JavaScript, capable of parsing complex grammars and languages, making it suitable for building compilers, interpreters, and data processors. -
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Tao3D
Tao3D is a programming language for real-time interactive 3D
Tao3D is a programming language for real-time interactive 3D. It lets you easily create dynamic, interactive, data-rich presentations, small applications, user interface concepts, and more. -
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LOG HOUSE
Ready to use log management solution for Kubernetes storing data
Ready to use log management solution for Kubernetes storing data in ClickHouse and providing web UI. Ready to use log management solution for Kubernetes. Efficiently store big amounts of your logs (in ClickHouse database), process them using a simple query language and monitor them online through web UI. Easy and quick to deploy in an already functioning Kubernetes cluster. The status is alpha. -
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Overlord
Providing automated and highly available caching service solutions
...Including apiserver, mesos framework&executor, cluster node task management job, etc. The web management interface, which is conveniently used for cluster management through dashboard visualization, including creation and deletion, expansion and contraction, addition and subtraction of nodes, etc. A data synchronization tool for redis-cluster, which can be serviced and work with apiserver. -
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An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from... -
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dc.js
Multi-Dimensional charting built to work natively with crossfilter
...When the filter or brush changes, all other charts are updated dynamically, using animated transitions. dc.js is an easy yet powerful javascript library for data visualization and analysis in the browser and on mobile devices. -
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graphdot
Visualize Go module dependencies in Graphviz DOT format
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... -
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The TRANSIMS Studio application is an integrated development environment for the TRansportation ANalysis and SIMulation System (TRANSIMS). Components include a run time environment to execute TRANSIMS in parallel, as well as a full featured GUI.
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The SBMLLayout Project provides libraries and tools for handling layout and render information of SBML Models. Supported are SBML Layout / Render Extension, CellDesigner annotations and JDesigner annotations.
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XcodeCoverage
Code coverage for Xcode projects (Objective-C only)
XcodeCoverage is a tool that automates the generation of code coverage reports for iOS and macOS projects. It helps developers measure how much of their code is tested, facilitating better testing practices and coverage improvement. -
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qlogtimeliner
Your application log analysis tool.
This tool helps with analysis multithreaded logs by visualising log events on a timeline. It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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PacBot
PacBot (Policy as Code Bot)
Policy as Code Bot (PacBot) is a platform for continuous compliance monitoring, compliance reporting and security automation for the cloud. In PacBot, security and compliance policies are implemented as code. All resources discovered by PacBot are evaluated against these policies to gauge policy conformance. The PacBot auto-fix framework provides the ability to automatically respond to policy violations by taking predefined actions. PacBot packs in powerful visualization features, giving a... -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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MultiProgressView
An animatable view that depicts multiple progresses over time
MultiProgressView is an iOS UI component that provides an advanced progress visualization system capable of displaying multiple progress segments within a single view. Modeled after the native UIProgressView, it extends functionality by allowing developers to represent multiple concurrent progress values in a segmented format. The component is fully animatable, enabling smooth transitions when progress values change over time, which enhances the visual feedback for users. -
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JuliaFEM.jl
The JuliaFEM software library is a framework
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed... -
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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This is going to be a Java Swing Application that will be used as a quick reference for Java API names. It will feature incremental search and filtering so that searching efficiency is improved. It will be very simple and a good way to statistically analyze java api's.
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income... -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. ... -
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captcha_break
Identification codes
This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification... -
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Pascal NUCLEUS (GUI/VM)
Portable Pascal GUI Library for Atari ST/TT/MSDOS
NOTE: As of r816, Nucleus source code is licensed under GPLv3. (8th Oct 2017) Nu|cleus [ˈnjuːklɪəs] - The central and most important part of an object, movement, or group, forming the basis for its activity and growth. This is yet another long-term project (YALP?). The aim is to write a portable GUI/OS for Atari ST, Amiga and DOS. The code must be small, fast and support modern GUI features. ie: Embedded component controls. The code current compiles with Highspeed Pascal (Atari ST)... -
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Gio.js
A declarative 3D globe data visualization library built with Three.js
Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. ... -
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TenorSpace.js
Neural network 3D visualization framework
...After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc.
