implmentation of 《Local Color Correction using Non-Linear Masking》
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An efficient implementation of KinectFusion with modern C++ and CUDA.
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Fastest CPU implementation of the LATCH 512-bit binary feature descriptor; fully scale- and rotation-invariant
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Insanely fast CUDA LATCH: fully scale- and rotation-invariant 512-bit binary descriptor for computer vision
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Python interface for CUDA implementation of OSQP
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python code for kernel methods
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generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish
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This repository contains Jupyter Notebooks and Python sample programs that illustrate how to use the APIs in the ibm_db library
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Simple visualiser based on GPU-accelerated single-pass volumetric raycasting
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NMF-mGPU web site:
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Separable-Subsurface-Scattering-Demoby DoerriesT
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License: No License (No License)Implementation of the Separable Subsurface Scattering technique from http://www.iryoku.com/separable-sss/ in C++ and Vulkan 1.0
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RoсketJoe is a Python worker pool for distributed execution of computational tasks on a CPU or GPU.
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To tackle the exponentially increasing throughput of Next-Generation Sequencing (NGS), most of the existing short-read aligners can be configured to favor speed in trade of accuracy and sensitivity. SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously.
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A GPU language model, based on btree backed tries.
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LocalColorCorrectionby cpuimage
implmentation of 《Local Color Correction using Non-Linear Masking》
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ccminer-cryptonight-macby xbbricker
Binaries for CUDA mining on macOS
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exafmm-tby exafmm
A kernel-independent fast multipole method library with Python interface.
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mesaby grate-driver
Mesa fork for open-source NVIDIA Tegra20/30 GL implementation
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cuda-ffmby RTBHOUSE
Field-aware Factorization Machines on CUDA
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AviSynthShaderby mysteryx93
Run HLSL Shaders in AviSynth with GPU Acceleration
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MiroirFusionby achansavang
An OpenCL implementation of the KinectFusion.
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FinanceBenchby cavazos-lab
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jetson_nano_overclockby mrcmunir
Kernel for nvidia jetson nano with some changes in dvfs for enable higher speed (CPU 2,0ghz+ and GPU 1,0ghz)
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vosk-api-gpuby sskorol
Vosk ASR Docker images with GPU for Jetson boards, PCs, M1 laptops and GPC
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rocHPLby ROCmSoftwarePlatform
High Performance Linpack for Next-Generation AMD HPC Accelerators
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openxla-nvgpuby openxla
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python-cuda-profileby bshillingford
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unity-gpu-texture-resizeby ababilinski
A method that allows for fast GPU resizing in the Unity Engine.
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miniqmcby QMCPACK
QMCPACK miniapp: a simplified real space QMC code for algorithm development, performance portability testing, and computer science experiments
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rodinia_fpgaby fpga-opencl-benchmarks
Rodinia Benchmark Suite for OpenCL-based FPGAs
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ParallelFDTDby juuli
A Parallel FDTD solver for room acoustics
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uCLbenchby PeterTh
Set of OpenCL microbenchmarks
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GATLASby cjang
GPU Automatically Tuned Linear Algebra Software
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kinectfusion-cudaby isikmustafa
An efficient implementation of KinectFusion with modern C++ and CUDA.
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evertby sbrodeur
Accelerated beam tracing algorithm adapted from the original source code by Samuli Laine.
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micmatby orippel
MICMat is a Python interface for Intel's Xeon Phi.
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LATCHby komrad36
Fastest CPU implementation of the LATCH 512-bit binary feature descriptor; fully scale- and rotation-invariant
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CLATCHby komrad36
Insanely fast CUDA LATCH: fully scale- and rotation-invariant 512-bit binary descriptor for computer vision
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OpenCLRendererby 20k
3D renderer built in C++/OpenCL
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Physically-based-Renderingby sebadorn
Master thesis: Interactive Physically-based Rendering
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cuosqpby osqp
Python interface for CUDA implementation of OSQP
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SYCL-For-CUDA-Examplesby codeplaysoftware
Examples for using SYCL on CUDA
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fastdebugby muellerzr
In-place debugger for the fastai library and pytorch
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GPGMMby intel
GPGMM, a General-Purpose GPU Memory Management Library.
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GPM-ASPLOS22by csl-iisc
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nvidia-warp-houdiniby christophercrouzet
Exposes NVIDIA's Warp framework to Houdini.
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EEL_VMby james34602
EEL2 compiler and execution VM with enhanced routines for real-time signal processing
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cudadeconby scopetools
GPU accelerated 3D image deconvolution using CUDA
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kerpyby oxmlcs
python code for kernel methods
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PyCuda_Denoise_Filtersby AlainPaillou
Some PyCuda routines to denoise pictures
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dpdispatcherby deepmodeling
generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish
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python-cudaby npinto
Python bindings for CUDA 2.1 with numpy integration
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cuLDPCby robertwgh
CUDA implementation of LDPC decoding algorithm
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db2-pythonby IBM
This repository contains Jupyter Notebooks and Python sample programs that illustrate how to use the APIs in the ibm_db library
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volume-raycastingby m-pilia
Simple visualiser based on GPU-accelerated single-pass volumetric raycasting
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AkariRenderby shiinamiyuki
High Performance CPU/GPU Physically Based Renderer
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Separable-Subsurface-Scattering-Demoby DoerriesT
Implementation of the Separable Subsurface Scattering technique from http://www.iryoku.com/separable-sss/ in C++ and Vulkan 1.0
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RocketJoeby cyberduckninja
RoсketJoe is a Python worker pool for distributed execution of computational tasks on a CPU or GPU.
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SOAP3-dpby aquaskyline
To tackle the exponentially increasing throughput of Next-Generation Sequencing (NGS), most of the existing short-read aligners can be configured to favor speed in trade of accuracy and sensitivity. SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously.
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gLMby XapaJIaMnu
A GPU language model, based on btree backed tries.
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CUDA-GMM-MultiGPUby Corv
CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single node.
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ShaderGlassby rohatsu
Overlay for running GPU shaders on top of Windows desktop
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