Glove As A Tensorflow Embedding LayerTaking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
Stars: ✭ 85 (-59.72%)
HipsyclImplementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (+78.67%)
Gpu.jsGPU Accelerated JavaScript
Stars: ✭ 13,427 (+6263.51%)
Cuda.jlCUDA programming in Julia.
Stars: ✭ 370 (+75.36%)
Waifu2x Ncnn Vulkanwaifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan
Stars: ✭ 1,258 (+496.21%)
WgpuSafe and portable GPU abstraction in Rust, implementing WebGPU API.
Stars: ✭ 3,305 (+1466.35%)
NeogfxCross-platform GPU-oriented C++ application/game framework
Stars: ✭ 362 (+71.56%)
MprReference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)
Stars: ✭ 84 (-60.19%)
Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (+69.67%)
Facelet bankFacelet-Bank for Fast Portrait Manipulation (pytorch)
Stars: ✭ 206 (-2.37%)
Realsr Ncnn VulkanRealSR super resolution implemented with ncnn library
Stars: ✭ 357 (+69.19%)
FornosGPU Texture Baking Tool
Stars: ✭ 82 (-61.14%)
AparapiThe New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Stars: ✭ 352 (+66.82%)
RenduA simple realtime graphics playground for experimentations.
Stars: ✭ 343 (+62.56%)
Aardvark.renderingThe dependency-aware, high-performance aardvark rendering engine. This repo is part of aardvark - an open-source platform for visual computing, real-time graphics and visualization.
Stars: ✭ 79 (-62.56%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+62.09%)
Media WatermarkGPU/CPU-based iOS Watermark Library for Image and Video Overlay
Stars: ✭ 170 (-19.43%)
NvptxHow to: Run Rust code on your NVIDIA GPU
Stars: ✭ 335 (+58.77%)
NvapiwrapperNvAPIWrapper is a .Net wrapper for NVIDIA public API, capable of managing all aspects of a display setup using NVIDIA GPUs
Stars: ✭ 105 (-50.24%)
Luminance RsType-safe, type-level and stateless Rust graphics framework
Stars: ✭ 632 (+199.53%)
ArrayfireArrayFire: a general purpose GPU library.
Stars: ✭ 3,693 (+1650.24%)
AdanetFast and flexible AutoML with learning guarantees.
Stars: ✭ 3,340 (+1482.94%)
Phenomenon Px⚡️ The fastest way to create pixel shaders.
Stars: ✭ 77 (-63.51%)
UltralightNext-generation HTML renderer for apps and games
Stars: ✭ 3,585 (+1599.05%)
WebclglGPGPU Javascript library 🐸
Stars: ✭ 313 (+48.34%)
Cudart.jlJulia wrapper for CUDA runtime API
Stars: ✭ 75 (-64.45%)
VlrGPU Monte Carlo Ray Tracing Renderer using NVIDIA OptiX
Stars: ✭ 137 (-35.07%)
DaliA GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Stars: ✭ 3,624 (+1617.54%)
ComputeA C++ GPU Computing Library for OpenCL
Stars: ✭ 1,192 (+464.93%)
NvtopNVIDIA GPUs htop like monitoring tool
Stars: ✭ 3,604 (+1608.06%)
CreepminerBurstcoin C++ CPU and GPU Miner
Stars: ✭ 169 (-19.91%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+2077.25%)
ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-66.35%)
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (+39.81%)
Tensorrt Utils⚡ Useful scripts when using TensorRT
Stars: ✭ 136 (-35.55%)
ReturnnThe RWTH extensible training framework for universal recurrent neural networks
Stars: ✭ 290 (+37.44%)
CloudmlR interface to Google Cloud Machine Learning Engine
Stars: ✭ 66 (-68.72%)
SimplegpuhashtableA simple GPU hash table implemented in CUDA using lock free techniques
Stars: ✭ 198 (-6.16%)
LrslibraryLow-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Stars: ✭ 625 (+196.21%)
LibrecLibRec: A Leading Java Library for Recommender Systems, see
Stars: ✭ 3,045 (+1343.13%)
ArboretumGradient Boosting powered by GPU(NVIDIA CUDA)
Stars: ✭ 64 (-69.67%)
NgxNgx - Neural network based visual generator and mixer
Stars: ✭ 277 (+31.28%)
Gpu monitorMonitor your GPUs whether they are on a single computer or in a cluster
Stars: ✭ 133 (-36.97%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (+29.86%)
MttMATLAB Tensor Tools
Stars: ✭ 61 (-71.09%)
HemiSimple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
Stars: ✭ 275 (+30.33%)
ServerThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
Stars: ✭ 2,994 (+1318.96%)
GgnnGGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Stars: ✭ 63 (-70.14%)
BohriumAutomatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX
Stars: ✭ 209 (-0.95%)
MeshoptimizerMesh optimization library that makes meshes smaller and faster to render
Stars: ✭ 2,930 (+1288.63%)
Mesa Dist WinPre-built mesa software rasterizer drivers for Windows
Stars: ✭ 201 (-4.74%)
AlloyMake usage of Metal API a pleasure
Stars: ✭ 178 (-15.64%)
Gpu SentryFlask-based package for monitoring utilisation of nVidia GPUs.
Stars: ✭ 153 (-27.49%)
SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
Stars: ✭ 615 (+191.47%)