Search Results for "frameworks" - Page 2
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Showing 174 open source projects for "frameworks"
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grafx - Extensible Java Graphics Package
Extensible Line-drawing & Polygon-filling Rasterization Libs for Java
Line-drawing and polygon-filling rasterization algorithms in Java. Simple 2D package and more complex 3D package with Z-buffering. Texture mapping not supported at the moment. Color interpolation for lines, Gouraud shading for polygons fully supported. Floating point vertex coordinates, not integer. Pixel-level aliasing, not endpoint aliasing. Doesn't use Bresenham line style! Works with all Java versions. No external dependencies. Suitable for study in academic institutions,... -
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MMDeploy
OpenMMLab Model Deployment Framework
...All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy. -
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ADAMS
ADAMS is a workflow engine for building complex knowledge workflows.
...Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications. -
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Emgu CV
Emgu CV is a cross platform .Net wrapper for OpenCV
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. -
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PicMo
JavaScript emoji picker. Any app, any framework
...Emoji data is loaded once from a CDN and cached in the browser for subsequent sessions. Use the default operating system emoji images or use an alternative renderer to use, for example, images from Twemoji. It's just JavaScript, no frameworks or libraries required. This means you can use it in any app under any framework. Includes light and dark themes, with the ability to extend them to create your own. Add custom images and GIFs! Render inline on the page or as a popup. -
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VueGL
Vue.js components rendering 3D WebGL graphics reactively with three.js
...Using VueGL, you can handle WebGL very easily. In addition, drawn graphics are responsively re-rendered when detecting data changes. Vue.js is one of the very popular frameworks for building web apps or interactive websites. three.js is a 3D graphics library to uses WebGL. It provides classes wrapping WebGL APIs. They aim for different targets to be rendered, Vue.js for DOM and three.js for WebGL context. These APIs are completely different and that causes a mess when we want them to work together. -
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Blend_My_NFTs
Easily generate thousands of 3D models, images, and animation NFTs
Blend_My_NFTs is an open-source, free-to-use Blender add-on that enables you to easily generate thousands of 3D Models, Animations, and Images. This add-on's primary purpose is to aid in the creation of large generative 3D NFT collections. It is the first and easiest 3D NFT generator. Blend_My_NFTs was initially developed to create Cozy Place, an NFT collection by This Cozy Studio Inc. Blend_My_NFTs works with Blender 3.2.2 on Windows 10 or macOS Big Sur 11.6. Linux is supported, however we... -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To... -
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Surface Defect Detection Dataset Papers
Constantly summarizing open source dataset and critical papers
At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally... -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on... -
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Urho3D
Cross-platform 2D and 3D game engine
!!! The project repositories have been migrated to https://github.com/urho3d/Urho3D !!! -
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Boss Engine
8-bit Graphical API for Java
Boss Engine is a graphical API for writing low-resolution 8-bit color applications. It offers easy to use functions for handling graphics, basic i/o and more. Screen access is performed through virtual framebuffers that allow direct read/write access to indexed color screen data. API is coded entirely with native libraries. No third party libraries required. -
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jMonkeyCSG
CSG for jMonkey
Expanded Constructive Solid Geometry support for jMonkey. CSG supports boolean operations on primitive shapes, building up a complex surface from the addition/subtraction of simple cubes, spheres, etc. Check out the jMonkeyCSG website for more details. -
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The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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SpinKit
A collection of loading indicators animated with CSS
Simple loading spinners animated with CSS. SpinKit only uses (transform and opacity) CSS animations to create smooth and easily customizable animations. Add spinkit.css or spinkit.min.css to your project (or copy-paste the CSS that you need for your spinner—there are no dependencies between spinners, no shared classes, and no shared animations, etc, so it should be fairly straight-forward to extract only the code that you need). Add a spinner to your project by copy-pasting HTML from... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing... -
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TenorSpace.js
Neural network 3D visualization framework
TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization... -
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Rough
Create graphics with a hand-drawn, sketchy, appearance
...The library is ideal for creative applications, data visualizations, and prototypes that benefit from a casual visual style. Rough is written in JavaScript and easily integrates with modern front-end frameworks and visualization tools. -
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Equity10 Version 0.3.7.6 Date 26/03/17 Ogre Models can now be Scaled Rotated and Positioned. Bug Fixes.
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VividEngine2OS
Vivid Engine 2 is an open source 3D Engine coded using C# and C++.
Vivid Engine 2 is a open source 3D engine with full integrated OpenGL UI. -
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GPU, a Global Processing Unit
A framework for distributed computing
An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients. -
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Accord.NET Framework
Machine learning, computer vision, statistics and computing for .NET
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides... -
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SDL Framework (SDLFW) SDLFW is a cross-platform framework from the powerful SDL library to create your own 2D games with the Lua programming language. It's easy-to-use, free, open-source, and works on Windows and Linux.
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All-in-one program for creating 2D scrolling games. Compile your games into stand-alone .NET executables or customizable C# source code. The IDE and framework are build on OpenTK, which wraps OpenGL, so generated games can be cross-platform.
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Keras.js
Run Keras models in the browser, with GPU support using WebGL
Run Keras models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc. Check out the demos/ directory for real examples running Keras.js in VueJS. Library version compatibility, Keras 2.1.2.
