Search Results for "example" - Page 43
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Showing 2692 open source projects for "example"
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CleverHans
An adversarial example library for constructing attacks
This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples. You can learn more about such vulnerabilities on the accompanying blog. The CleverHans library is under continual development, always welcoming contributions of the latest attacks and defenses. In particular, we always welcome help with resolving the issues currently open. Since v4.0.0, CleverHans supports 3 frameworks: JAX, PyTorch, and TF2.... -
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EF IconFont
A better way to operate icon font in Swift, support iOS, macOS
A better way to operate icon font in Swift, support iOS, macOS, watchOS and tvOS. An ordinary iconfont cocoapods package helps you to use iconfont more easily in your project, in Swift. To run the example project manually, clone the repo, and run sh Startup.sh in the project folder. Demo is in the Example folder, open Example.xcworkspace with Xcode and select the target you want in it, run. The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into the Swift compiler. This pod has integrated some free resources in the subspecs, like AntDesign and FontAwesome. ... -
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TVscript
Exploration of the removal of count variable transcripts.
> See TVscript wiki: https://sourceforge.net/p/tvscript/wiki/Home/ Related Software: 1. CStone: https://sourceforge.net/projects/cstone/ 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: (See wiki) 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/ -
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Pipeline Examples
A collection of examples, tips and tricks and snippets of scripting
This repository collects a variety of example Jenkins Pipeline scripts, tips, snippets, and patterns for both the declarative and scripted pipeline syntaxes. It includes examples for global shared libraries, Jenkinsfile variations, and usage of plugins, to help users adopt pipelines in their Jenkins automation workflows. Examples of plugin integrations (e.g. artifact upload, workspace management). -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying... -
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CAM
Class Activation Mapping
...The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class. -
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MurExpo
Software to create an exhibition wall and hang artworks on it.
...Once arranged, the works can be framed live on the wall and the exhibition space can be decorated with objects and characters. This tool is aimed at people who need to do artwork simulations / presentations, for example artists, gallery owners, teachers, ... Art teachers (and students themselves) can easily put artworks in situation. -
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RegexAssistant
Regex Windows GUI app to help learn, create,& test Regular Expressions
RegexAssistant is a Regex GUI application to help learn, create, and test Regular Expressions. It's an open source stand alone Windows application. RegexAssistant is great for beginners and intermediate-advanced regex users. -It helps beginners to learn regex by providing examples and token cheat-sheet. -Intermediate-advanced users can use RegexAssistant to test complex expressions. -
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IntroViews Flutter
A Flutter package for some material design app intro screens
IntroViews is inspired by Paper Onboarding and developed with love from scratch. Checkout our fully responsive live example app. -
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jswebserver
Web server in one java jar using JavaScript for the server side logic
JSWEBSERVER is a very light web server app that can be compiled in Java 1.8 or Java 16, it is based on SCALATRA and GRAALVM with JavaScript engine. Prerequisites to compile jswebserver: - Java JDK 1.8 or 16 (https://adoptopenjdk.net/) - SBT (https://www.scala-sbt.org/download.html) - Scala (https://www.scala-lang.org/download/scala2.html) After installing prerequisites, download jswebserver sources: https://sourceforge.net/p/jswebserver/code/ci/master/tree/ or you may use... -
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AmplitudeJS
Open Source HTML5 Web Audio Library
...If you are very thankful for what you can do with AmplitudeJS or if you are using AmplitudeJS to make any sort of revenue, we kindly ask that you contribute any resources available to keep the community growing. Autogenerate waveforms and visualizations using the Web Audio API. Public functions for unlimited control! All of our example players have the code available on our "AmplitudeJS Example Players" repository. -
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Duct
Server-side application framework for Clojure
Duct is a highly modular, server-side application framework for Clojure built around a data-driven architecture. It organizes systems using immutable configuration, enabling clean assembly of components and streamlined development with backward compatibility via Integrant foundations. As with all Leiningen templates, Duct will create a new directory with the same name as your project. For information on how to run and build your project, refer to the project's README.md file. The structure... -
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Omnipay
A framework agnostic, multi-gateway payment processing library
...It has been designed based on ideas from Active Merchant, plus experience implementing dozens of gateways for CI Merchant. It has a clear and consistent API, is fully unit tested, and even comes with an example application to get you started. You can learn one API and use it in multiple projects using different payment gateways. If you need to change payment gateways you won’t need to rewrite your code. Most official PHP payment gateway libraries are a mess. Most payment gateways have exceptionally poor documentation. So, why use Omnipay instead of a gateway’s official PHP package/example code? ... -
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Qt3D ShadowMap C++
Shadow mapping in Qt3D using C++
This is a C++ conversion of the Qt3D QML Shadow Map example. This is not a strict port, since I just wanted the shadow mapping for another project I'm working on, so the fancy airplane animation is not included. I tried to build the classes so that they mirror the QML in terms of interface and functionality. It took me weeks to work this out, so I'm posting the code to help others. It's a shame that Qt3D is so lacking in documentation and example code. -
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Data augmentation
List of useful data augmentation resources
...You will find here some links to more or less popular github repos, libraries, papers, and other information. Data augmentation can be simply described as any method that makes our dataset larger. To create more images for example, we could zoom in and save a result, we could change the brightness of the image or rotate it. To get a bigger sound dataset we could try to raise or lower the pitch of the audio sample or slow down/speed up. Keypoints/landmarks Augmentation, usually done with image augmentation (rotation, reflection) or graph augmentation methods (node/edge dropping) Spectrograms/Melspectrograms, usually done with time series data augmentation (jittering, perturbing, warping) or image augmentation (random erasing) -
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CheckSignDir allows you to check all gpg detached signature in a directory (with subfolders scan). Usage: param 1: directory to check, param2: modeParam (not-recursive, recursive, no-subfolders) Example: java -jar CheckSignDir.jar /home/davide/sha1 no-subfolders Source code available on GitHub: https://github.com/davidesestiliwork/CheckSignDir Note: this program requires GnuPG to work properly.
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Amazon Lumberyard
Amazon Lumberyard is a free AAA game engine
...Although Amazon has since archived the repository and transitioned focus to the open-source successor Open 3D Engine (O3DE), the project remains of interest as a large-scale example of cloud-enabled game engine architecture. Developers studying game tech or infrastructure integration can inspect how the engine’s subsystems were designed, including entity/component architectures, rendering pipelines and networked game services. -
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tensorflow_template_application
TensorFlow template application for deep learning
tensorflow_template_application is a template project that demonstrates how to structure scalable applications built with TensorFlow. The repository provides a standardized architecture that helps developers organize machine learning code into clear components such as data processing, model training, evaluation, and deployment. Instead of focusing on a specific algorithm, the project emphasizes software engineering practices that make machine learning systems easier to maintain and extend.... -
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AWS Greengrass Core SDK for Java
Greengrass Java SDK
...This document provides instructions for preparing your Greengrass Core environment to run Lambda functions written in Java. It also includes examples on how to develop a Lambda function in Java as well as packaging and running an example Hello World file in Java for your Greengrass core. Stream manager supports automatic data export to AWS S3 and AWS IoT SiteWise, provides new API method to update existing streams, and pause or resume exporting. StreamManager client sets socket option TCP_NODELAY=true to prevent multi-millisecond delays when writing small messages. -
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neurojs
A JavaScript deep learning and reinforcement learning library
...Several interactive demonstrations included with the project illustrate how neural networks can be used to train agents in simulated tasks, including a browser-based self-driving car example. These demos allow users to visualize how reinforcement learning agents improve their behavior over time as they receive rewards and update their neural networks. -
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Game3.js
The Web 3.0 Game Framework
The Web 3.0 Game Framework. -
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ProcessmakerExample
Example for creating report on Processmaker
I have created a process to create report with ReportServer.net platform. You can create drop down list with dependency query selection, free text with default value. You just only create report from report server (getting program from reportserver.net) and set parameters. Then, it can show report on processmaker. two task are created: 1. Register report -- create a report search criteria, linkage with reportserver. 2. Report generator -- Show report result by wanted... -
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Wild Workouts
Go DDD example application. Complete project to show how to apply DDD
Wild Workouts is an example Go DDD project that we created to show how to build Go applications that are easy to develop, maintain, and fun to work with, especially in the long term! The idea for this series, is to apply DDD by refactoring. This process is in progress! Please check articles, to know the current progress. No application is perfect from the beginning. -
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RxCombine
Bi-directional type bridging between RxSwift
RxCombine provides bi-directional type bridging between RxSwift and Apple's Combine framework. This is highly experimental, and basically just a quickly-put-together PoC. I gladly accept PRs, ideas, opinions, or improvements. Check out the Example App in the ExampleApp folder. Run pod install before opening the project. RxCombine provides several helpers and conversions to help you bridge your existing RxSwift types to Combine. Relays and Subjects can be converted to their Combine-counterparts using the toCombine() method, so you can use them as if they are regular Combine Subjects, and have them connected to your existing subjects.
