CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (-91.96%)
Futhark💥💻💥 A data-parallel functional programming language
Stars: ✭ 1,641 (-70.83%)
LibcudacxxThe C++ Standard Library for your entire system.
Stars: ✭ 1,861 (-66.92%)
MixbenchA GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)
Stars: ✭ 130 (-97.69%)
RemoterySingle C file, Realtime CPU/GPU Profiler with Remote Web Viewer
Stars: ✭ 1,908 (-66.08%)
KhivaAn open-source library of algorithms to analyse time series in GPU and CPU.
Stars: ✭ 161 (-97.14%)
Xmrminer🐜 A CUDA based miner for Monero
Stars: ✭ 158 (-97.19%)
QudaQUDA is a library for performing calculations in lattice QCD on GPUs.
Stars: ✭ 166 (-97.05%)
Ssd Gpu DmaBuild userspace NVMe drivers and storage applications with CUDA support
Stars: ✭ 172 (-96.94%)
Gmonitorgmonitor is a GPU monitor (Nvidia only at the moment)
Stars: ✭ 169 (-97%)
Tensorflow Gpu MacosxUnoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX
Stars: ✭ 103 (-98.17%)
H2o4gpuH2Oai GPU Edition
Stars: ✭ 416 (-92.6%)
cuda memtestFork of CUDA GPU memtest 👓
Stars: ✭ 68 (-98.79%)
Python-MatematicaExplorando aspectos fundamentais da matemática com Python e Jupyter
Stars: ✭ 41 (-99.27%)
lbvhan implementation of parallel linear BVH (LBVH) on GPU
Stars: ✭ 67 (-98.81%)
Stdgpustdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (-90.56%)
WorkshopscipyA workshop for scientific computing in Python. ( December 2017 )
Stars: ✭ 391 (-93.05%)
SimplegpuhashtableA simple GPU hash table implemented in CUDA using lock free techniques
Stars: ✭ 198 (-96.48%)
CudfcuDF - GPU DataFrame Library
Stars: ✭ 4,370 (-22.31%)
CupochRobotics with GPU computing
Stars: ✭ 225 (-96%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (-93.23%)
Compute.scalaScientific computing with N-dimensional arrays
Stars: ✭ 191 (-96.6%)
HipsyclImplementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (-93.3%)
skinnerSkin export / import tools for Autodesk Maya
Stars: ✭ 68 (-98.79%)
IlgpuILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (-93.35%)
learn-gpgpuAlgorithms implemented in CUDA + resources about GPGPU
Stars: ✭ 37 (-99.34%)
NDScalaN-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types
Stars: ✭ 37 (-99.34%)
audiophileAudio fingerprinting and recognition
Stars: ✭ 17 (-99.7%)
Lighthouse2Lighthouse 2 framework for real-time ray tracing
Stars: ✭ 542 (-90.36%)
PygraphistryPyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Stars: ✭ 1,365 (-75.73%)
numpyeigenFast zero-overhead bindings between NumPy and Eigen
Stars: ✭ 75 (-98.67%)
Scipy-Bordeaux-2017Course taught at the University of Bordeaux in the academic year 2017 for PhD students.
Stars: ✭ 16 (-99.72%)
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Stars: ✭ 47 (-99.16%)
Social-Distancing-and-Face-Mask-DetectionSocial Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement
Stars: ✭ 39 (-99.31%)
briefmatchBriefMatch real-time GPU optical flow
Stars: ✭ 36 (-99.36%)
gpubootcampThis repository consists for gpu bootcamp material for HPC and AI
Stars: ✭ 227 (-95.96%)
monolishmonolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Stars: ✭ 166 (-97.05%)
polytopeGeometric operations on polytopes of any dimension
Stars: ✭ 51 (-99.09%)
PbfVsImplementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0
Stars: ✭ 100 (-98.22%)
Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Stars: ✭ 92 (-98.36%)
Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (-93.64%)
Fat-CloudsGPU Fluid Simulation with Volumetric Rendering
Stars: ✭ 81 (-98.56%)
ThrustRTCCUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.
Stars: ✭ 41 (-99.27%)
MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (-92.57%)
revisiting-sepconvan implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch
Stars: ✭ 43 (-99.24%)
SciCompforChemistsScientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
Stars: ✭ 65 (-98.84%)
opencv-cuda-dockerDockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings
Stars: ✭ 55 (-99.02%)
LuisaRenderHigh-Performance Multiple-Backend Renderer Based on LuisaCompute
Stars: ✭ 47 (-99.16%)
GprmaxgprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Stars: ✭ 268 (-95.24%)
hipaccA domain-specific language and compiler for image processing
Stars: ✭ 72 (-98.72%)
PopsiftPopSift is an implementation of the SIFT algorithm in CUDA.
Stars: ✭ 259 (-95.4%)
HemiSimple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
Stars: ✭ 275 (-95.11%)
Deep DiamondA fast Clojure Tensor & Deep Learning library
Stars: ✭ 288 (-94.88%)
Pytorch Liteflownet a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
Stars: ✭ 281 (-95%)
XshinnosukeDeep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Stars: ✭ 291 (-94.83%)
RustacudaRusty wrapper for the CUDA Driver API
Stars: ✭ 511 (-90.92%)
tiny-cuda-nnLightning fast & tiny C++/CUDA neural network framework
Stars: ✭ 908 (-83.86%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (-95.13%)