Search Results for "gpu"
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13 projects for "gpu" with 2 filters applied:
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
...Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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InvertibleNetworks.jl
A Julia framework for invertible neural networks
Building blocks for invertible neural networks in the Julia programming language. -
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QtAV
A multimedia framework based on Qt and FFmpeg
QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc -
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MetalPetal
A GPU accelerated image and video processing framework built on Metal
MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all the... -
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Mocha.jl
Deep Learning framework for Julia
...It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels directly in Julia and general auto-differentiation supports, the Mocha codebase becomes excessively old and primitive. ... -
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Starling Filters
A collection of filters for use with the Starling AS3 framework
Starling-Filters is an open-source collection of filter effects for the Starling AS3 framework. These filters allow developers using Starling (a GPU accelerated 2D rendering framework in Flash/AIR) to apply image processing / visual effects (e.g. blur, glow, etc.) in their Starling-based applications. The repo has versions for Starling 2.0 (on master) and older filters archived for Starling 1.x. A collection of filters for use with the Starling AS3 framework. The master branch contains filters for use with Starling 2.0. -
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Starling Extension Graphics
flash.display.Graphics style extension for the Starling Flash GPU
Starling-Extension-Graphics is an extension for the Starling framework (which itself is a GPU-accelerated 2D framework for Flash/AIR via Stage3D). This extension adds graphics primitives (fills, strokes, planes etc.) that mimic flash.display.Graphics-style drawing but implemented in a GPU-friendly manner. It automatically triangulates vector shapes, letting developers use familiar drawing APIs but get performance benefits of GPU rendering via Starling. -
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Starling Extension Particle System
A particle system for the Starling framework
The Starling Extension Particle System is an ActionScript extension for the Starling framework that enables developers to integrate particle effects created with the "Particle Designer" tool by 71squared into Starling-based applications. The demo-directory contains a sample project. To compile it, add a reference to the Starling library and add the source directory that contains the particle system classes. The project contains 4 sample configurations. Switch between configurations in... -
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ND2D
A Flash Molehill (Stage3D) GPU accelerated 2D game engine
ND2D is a 2D game framework for Flash that uses Stage3D / Molehill (i.e. the GPU acceleration in newer Flash Player versions). It allows game developers to build 2D games with lots of sprites, leveraging GPU for better performance. It includes display tree constructs, sprite sheets, particle systems, cameras, post-processing etc., made to simplify building high-performance 2D content in Flash. ND2D was built to make an ease use of hardware accelerated 2D content in the Flashplayer. ... -
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jQuery Transit
Super-smooth CSS3 transformations and transitions for jQuery
jQuery Transit is a classic jQuery plugin that brought ergonomic, chainable CSS3 transitions and transforms to web apps before modern animation APIs were commonplace. It exposes a simple .transition() method so you can animate transforms, opacity, colors, and other CSS properties with minimal code. Under the hood, it leans on GPU-accelerated CSS transforms where available, falling back gracefully, which made complex motion feel smooth even on modest devices. The plugin abstracts away vendor prefixes and browser quirks from an era with inconsistent CSS3 support, letting teams focus on intent instead of compatibility. It integrates with the jQuery queue system, so transitions can be sequenced or synchronized with other effects without race conditions. ... -
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StarlingPunk
StarlingPunk is a framework built on top the Starling library
StarlingPunk is a game framework built on top of the Starling GPU-accelerated 2D library (AS3 / Flash / AIR). It is inspired by FlashPunk: it gives structure (entities, worlds), collision detection systems, tile maps, etc., and is intended to help developers organize 2D game code more cleanly while benefiting from Starling’s performance. It has features for quick prototyping and reusing code between projects. -
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cppgpgpu is a compile-in library of functions designed to aide users in writing applications that make heavy use of the GPU for computing in an OpenGL environment. This cuts through the boiler plate so you don't have to.
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