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Showing 14 open source projects for "folder management"
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JDF.jl
Julia DataFrames serialization format
JDF is a DataFrames serialization format with the following goals, fast save and load times, compressed storage on disk, enabled disk-based data manipulation (not yet achieved), and support for machine learning workloads, e.g. mini-batch, sampling (not yet achieved). JDF stores a DataFrame in a folder with each column stored as a separate file. There is also a metadata.jls file that stores metadata about the original DataFrame. Collectively, the column files, the metadata file, and the... -
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LiveServer.jl
Simple development server with live-reload capability for Julia
This is a simple and lightweight development web-server written in Julia, based on HTTP.jl. It has live-reload capability, i.e. when modifying a file, every browser (tab) currently displaying the corresponding page is automatically refreshed. -
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TerminalUserInterfaces.jl
Terminal User Interfaces in Julia
Create TerminalUserInterfaces in Julia. -
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TensorBoardLogger.jl
Easy peasy logging to TensorBoard with Julia
TensorBoardLogger.jl is a native library for logging arbitrary data to Tensorboard, extending Julia's standard Logging framework. It can also be used to deserialize TensoBoard's .proto files. The fundamental type defined in this package is a TBLogger, which behaves like other standard loggers in Julia such as ConsoleLogger or TextLogger. You can create one by passing it the path to the folder where you want to store the data. You can also pass an optional second argument to specify the... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Bayesian Optimization
Python implementation of global optimization with gaussian processes
This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic... -
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Nonlinear Dynamics
A concise introduction interlaced with code
This repository holds material related with the textbook Nonlinear Dynamics: A Concise Introduction Interlaced with code, co-authored by George Datseris and Ulrich Parlitz. The textbook will be published by Springer-Nature, in the series Undergraduate Lecture Notes in Physics. -
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Jupyter Dock
Perform molecular docking protocols interactively
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results. These notebooks are Python 3 compatible. Each protocol and Jupyter notebook has its own test folder for testing and reproducibility evaluation. For all notebooks, the demonstration includes the use of AutoDock Vina and Ledock. When available, some alternatives are mentioned in the protocol. Jupyter Dock's initial goal... -
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Hedgehog Lab
Run, compile and execute JavaScript for Scientific Computing
Hedgehog Lab is an open-source scientific computation tool in the browser. Before the development, Pleases make sure you are already installed and enabled the yarn. Once cloned, switch to the dev branch and navigate to the folder by typing cd hedgehog-lab and then running the provided commands. On each run the program compiles and it takes time. Please wait until it shows "Compiled successfully!" and instructions about with which IP:PORT to connect. -
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textures.js
SVG patterns for data visualization
Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization. Import textures.js from NPM. You can also use textures.js in your HTML page with a <script> tag by downloading textures.js to a local folder or by using the Unpkg CDN network. Textures.js can be used alongside d3. -
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pair-trading-view
Pair Trading View - .NET application for visual analysis of synthetic
Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models. https://github.com/dv-lebedev/pair-trading-view Look for binaries in "pair-trading-view\PairTradingView.WinFormsApp\bin\Debug" folder. -
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Freemind Search Plugin
Plugin to allow search from multiple Freemind maps
This is a plugin for FreeMind ( https://sourceforge.net/projects/freemind ) The main app only allows you to search the current open map. This plugin will allow you to search multiple maps for chosen key words. Code now at https://github.com/leonarduk/freemindsearchplugin -
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iSBatch
Hyearchical Data Processing Plugin for ImageJ
iSBatch is a Java-based plugin for ImageJ (version 1.49d) or its distribution Fiji. iSBatch is designed for quick evaluation of analysis pipelines and visual exploration of datasets. It is distributed under an open open-source license (GNU General Public License, version 3). The plugin handles the data in a hierarchical fashion based on a source folder containing all data and little guidance provided by the user. The software is designed for rapid exploration of large datasets and... -
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flot
Attractive JavaScript charts for jQuery
Flot is a pure JavaScript plotting library for jQuery, with a focus on simple usage, attractive looks and interactive features. Works with Internet Explorer 6+, Chrome, Firefox 2+, Safari 3+ and Opera 9.5+. Additional examples are bundled with Flot. Also take a look at the Flot Usage Wiki for screenshots and stories from people and companies using Flot. Take a look at the the examples in examples/index.html; they should give a good impression of what flot can do, and the source code of the... -
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This PHP script allows You to plot bubble charts on Google Earth. Have Your data in a query, view, table with fields: folder, name, latitude, longitude, radius, color, additional data. Set the DB parameters in the config file, and enjoy the results.
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