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Creates a THREE.Geometry from a 3D simplicial complex. See demo for an example.This is useful for inter-op with modules like icosphere, bunny, stanford-dragon, mesh-combine, extrude-polyline, teapot, triangulate-contours, etc.

https://github.com/Jam3/three-simplicial-complex Dependencies:

inherits : ^2.0.1

Tags | three bunny simplicial complex |

Implementation | Javascript |

License | MIT |

Platform | OS-Independent |

gnuplot is a command-driven interactive function plotting program. It can be used to plot functions and data points in both two- and three-dimensional plots in many different formats. It is designed primarily for the visual display of scientific data.

graphics chart visualization plotting-engine"Data is the new oil" is a saying which you must have heard by now along with the huge interest building up around Big Data and Machine Learning in the recent past along with Artificial Intelligence and Deep Learning. Besides this, data scientists have been termed as having "The sexiest job in the 21st Century" which makes it all the more worthwhile to build up some valuable expertise in these areas. Getting started with machine learning in the real world can be overwhelming with the vast amount of resources out there on the web. "Practical Machine Learning with Python" follows a structured and comprehensive three-tiered approach packed with concepts, methodologies, hands-on examples, and code. This book is packed with over 500 pages of useful information which helps its readers master the essential skills needed to recognize and solve complex problems with Machine Learning and Deep Learning by following a data-driven mindset. By using real-world case studies that leverage the popular Python Machine Learning ecosystem, this book is your perfect companion for learning the art and science of Machine Learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute Machine Learning systems and projects successfully.

machine-learning deep-learning text-analytics classification clustering natural-language-processing computer-vision data-science spacy nltk scikit-learn prophet time-series-analysis convolutional-neural-networks tensorflow keras statsmodels pandas deep-neural-networksSilverStripe CMS is used to build websites, intranets, and web applications. SilverStripe CMS enables websites and applications to contain stunning design, great content, and compelling interactive and social functions. It is a power tool for professional web development teams, and web content authors rave about how easy it is to use.

cms content-management-system website-buildingPigments will scan source files in your project directories looking for colors and will build a palette with all of them. Then for each opened file, it will use the palette to evaluate the value of a given color. The legible source paths can be defined through various settings either at the global or per project level. By default colors in every file will be highlighted, to limit the display of colors to the desired filetype only please see the Defining Where Pigments Applies below. Pigments supports out of the box most of the color transformations functions and expressions of the three biggest CSS pre-processors out there, namely LESS, Sass and Stylus. However, it doesn't mean pigments is able to parse and understand all of these languages constructs. For the moment, Pigments' aim is to support the widest range of usage, even if it implies reducing its ability to parse certain complex constructs. You can refer to the parser specs for an exhaustive list of the supported expressions.

colors palette less sass scss css stylusIn the Big Data era, data is not only becoming bigger and bigger; it is also becoming more and more complex. This translates into a spectacular increase of the dimensionality of the data. For example, the dimensionality of a set of images is the number of pixels in any image, which ranges from thousands to millions. Computers have no problem processing that many dimensions. However, we humans are limited to three dimensions. Computers still need us (thankfully), so we often need ways to effectively visualize high-dimensional data before handing it over to the computer.

Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on top of TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard.

bayesian-methods deep-learning machine-learning data-science tensorflow neural-networks statistics probabilistic-programmingLambda Complex is a Node.js framework for applications that run entirely within Lambda, SQS, and other high abstraction layer AWS services. It is well suited to non-realtime content generation and other types of application driven by message queues and which require enforced concurrency limits. Examples include high volume generation of static content from data or other types of workflow initiated in response to messages placed into SQS queues. A Lambda Complex application can be deployed from a developer machine, or from an Amazon Linux EC2 instance if binary NPM modules are required. No server infrastructure beyond that is needed.

aws lambda complexWinterfell allows you to build up complex, multi-page forms with conditional questions, validation and conditional-page switching via a JSON schema, rendered by React. Winterfell was initially made for a project in a sector that required a large, complex form with questions that would result in more questions or different pages when you clicked next. With an easy to write schema and a high level of customisation, comes a great power.

reactjs react forms json complex winterfell customisable validation validated form engine extendable conditional questions react-componentThe project is a set of CSS loading animations created with three dots which made by just single element. I think the project can not only enhance your CSS skills but also improve your imagination. The LESS files are contributed by other people, it's not the newest.

loading-animations three-dots sass single-element-css-spinners css-frameworkComplex Systems is a toolbox for SCILAB software. This toolbox measures some parameters for graphs representing complex systems: degree distribution, average neighboring degree, average clustering, and shell index (from k-core decomposition).

bcnnet-lib (barcelona complex networks library) is a library to support simulations and information analysis of complex networks. It contains a number of algorithms used in the fields of social networks, multi-agent simulation and network analysis.

In order to deploy Cloud Foundry, and a growing number of other complex systems, you will need a bosh. bosh provides a complete lifecycle manager/deployer for complex systems. Cloud Foundry is a very complex system when it comes to deployment/upgrades.

Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with different data types like numbers, big numbers, complex numbers, fractions, units, and matrices.

math complex-numbers matrices units bignumbers expression-evaluator mathematics functions numeric algebra parser expression number bignumber complex fraction matrix unitJMCAD is an program for the modeling and simulation of complex dynamic systems. This includes the ability to construct and simulate block diagrams. The visual block diagram interface offers a simple method for constructing, modifying and maintaining complex system models. The simulation engine provides fast and accurate solutions for linear, nonlinear, continuous time, discrete time, time varying and hybrid system designs. With JMCAD, users can quickly develop software or "virtual" prototy

Android library to create complex multi-state animations. A class that allows for complex multi-state animations using Android's AnimationDrawable. It supports both oneshot and looped animation sections. Transitions between sections can be defined, and will play automatically when moving between the defined states. State transitions can be queued asynchronously, and the library will take car of smoothly starting the next animation once the current section is complete.

Siddhi, high performing Complex Event Processing Engine

wso2 cep stream-processing complex-event-processing online-learningGramm is a powerful plotting toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library by Hadley Wickham. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab. Gramm is a data visualization toolbox for Matlab that allows to produce publication-quality plots from grouped data easily and flexibly. Matlab can be used for complex data analysis using a high-level interface: it supports mixed-type tabular data via tables, provides statistical functions that accept these tables as arguments, and allows users to adopt a split-apply-combine approach (Wickham 2011) with rowfun(). However, the standard plotting functionality in Matlab is mostly low-level, allowing to create axes in figure windows and draw geometric primitives (lines, points, patches) or simple statistical visualizations (histograms, boxplots) from numerical array data. Producing complex plots from grouped data thus requires iterating over the various groups in order to make successive statistical computations and low-level draw calls, all the while handling axis and color generation in order to visually separate data by groups. The corresponding code is often long, not easily reusable, and makes exploring alternative plot designs tedious.

matlab visualization stats plot data-visualization statisticsToday, the most common tool for complex maths visualization in the classroom is the TI-84+. Scientists, researchers, and other professionals who implement calculus in their work may rely on more complex toolkits like MATLAB. Though these tools offer broader functionality, they are similarly if not more unintuitive than their handheld counterparts. Visualization plays a crucial role in understanding, mastering, and improving upon mathematical concepts, but today's standard interfaces frustrate and alienate many individuals, creating an excessively high barrier of entry to higher level math studies. Calcflow shatters this interfacial bottleneck by enabling users to interact directly with complex equations in physical space. Users can manipulate inputs and parameters and observe changes to 3D visualizations in realtime.

vector-calculus educators virtual-reality mathematics engineer calculatorCyberChef is a simple, intuitive web app for carrying out all manner of "cyber" operations within a web browser. These operations include simple encoding like XOR or Base64, more complex encryption like AES, DES and Blowfish, creating binary and hexdumps, compression and decompression of data, calculating hashes and checksums, IPv6 and X.509 parsing, changing character encodings, and much more. The tool is designed to enable both technical and non-technical analysts to manipulate data in complex ways without having to deal with complex tools or algorithms. It was conceived, designed, built and incrementally improved by an analyst in their 10% innovation time over several years.

data-analysis data-manipulation encryption encoding compression parsing hashing cipher cypher encode decode encrypt decrypt base64 xor charset hex format cybersecurity
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