CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (+66.18%)
DeepwayThis project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
Stars: ✭ 118 (-56.62%)
SilentXMRMinerA Silent (Hidden) Monero (XMR) Miner Builder
Stars: ✭ 417 (+53.31%)
SubwayOut-of-GPU-Memory Graph Processing with Minimal Data Transfer
Stars: ✭ 30 (-88.97%)
GPUCompiler.jlReusable compiler infrastructure for Julia GPU backends.
Stars: ✭ 67 (-75.37%)
AI-PowerAI动力(AI Power) GPU云平台使用指南
Stars: ✭ 22 (-91.91%)
gpu-monitorScript to remotely check GPU servers for free GPUs
Stars: ✭ 85 (-68.75%)
Opencv Python BlueprintsM. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.
Stars: ✭ 262 (-3.68%)
monolishmonolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Stars: ✭ 166 (-38.97%)
Open-GPGPU-FlexGrip-FlexGripPlus: an open-source GPU model for reliability evaluation and micro architectural simulation
Stars: ✭ 15 (-94.49%)
gpubootcampThis repository consists for gpu bootcamp material for HPC and AI
Stars: ✭ 227 (-16.54%)
Ai Job NotesAI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
Stars: ✭ 3,191 (+1073.16%)
hftaBoost hardware utilization for ML training workloads via Inter-model Horizontal Fusion
Stars: ✭ 18 (-93.38%)
Opencv AndroidEasy way to integrate OpenCv into your Android project via Gradle
Stars: ✭ 264 (-2.94%)
docker-nvidia-glx-desktopMATE Desktop container designed for Kubernetes supporting OpenGL GLX and Vulkan for NVIDIA GPUs with WebRTC and HTML5, providing an open source remote cloud graphics or game streaming platform. Spawns its own fully isolated X Server instead of using the host X server, therefore not requiring /tmp/.X11-unix host sockets or host configuration.
Stars: ✭ 47 (-82.72%)
HetuA high-performance distributed deep learning system targeting large-scale and automated distributed training.
Stars: ✭ 78 (-71.32%)
XLearning-GPUqihoo360 xlearning with GPU support; AI on Hadoop
Stars: ✭ 22 (-91.91%)
FLAMEGPU2FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python
Stars: ✭ 25 (-90.81%)
gpustatsStatistics on GPUs
Stars: ✭ 21 (-92.28%)
briefmatchBriefMatch real-time GPU optical flow
Stars: ✭ 36 (-86.76%)
PopsiftPopSift is an implementation of the SIFT algorithm in CUDA.
Stars: ✭ 259 (-4.78%)
ELM-pytorchExtreme Learning Machine implemented in Pytorch
Stars: ✭ 68 (-75%)
hipaccA domain-specific language and compiler for image processing
Stars: ✭ 72 (-73.53%)
RenderScriptOps🚀 TensorFlow running with RenderScript on Android GPU
Stars: ✭ 15 (-94.49%)
QPT[内测中]前向式Python环境快捷封装工具,快速将Python打包为EXE并添加CUDA、NoAVX等支持。
Stars: ✭ 308 (+13.24%)
Realtime object detectionPlug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!
Stars: ✭ 260 (-4.41%)
lbvhan implementation of parallel linear BVH (LBVH) on GPU
Stars: ✭ 67 (-75.37%)
qiboA framework for quantum computing with hardware acceleration.
Stars: ✭ 120 (-55.88%)
MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (+53.68%)
Dynamicfusion Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper
Stars: ✭ 267 (-1.84%)
pyamgxGPU accelerated multigrid library for Python
Stars: ✭ 29 (-89.34%)
LuisaRenderHigh-Performance Multiple-Backend Renderer Based on LuisaCompute
Stars: ✭ 47 (-82.72%)
warpcontinuous energy monte carlo neutron transport in general geometries on GPUs
Stars: ✭ 27 (-90.07%)
Ergo🧠 A tool that makes AI easier.
Stars: ✭ 264 (-2.94%)
PbfVsImplementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0
Stars: ✭ 100 (-63.24%)
bcnnA minimalist Deep Learning framework for embedded Computer Vision
Stars: ✭ 39 (-85.66%)
Fat-CloudsGPU Fluid Simulation with Volumetric Rendering
Stars: ✭ 81 (-70.22%)
Evision计算机视觉实践和探索/Practice and explorations in computer vision.
Stars: ✭ 268 (-1.47%)
GPU-JupyterhubSetting up a Jupyterhub Dockercontainer to spawn Jupyter Notebooks with GPU support (containing Tensorflow, Pytorch and Keras)
Stars: ✭ 23 (-91.54%)
HybridBackendEfficient training of deep recommenders on cloud.
Stars: ✭ 30 (-88.97%)
bifrostA stream processing framework for high-throughput applications.
Stars: ✭ 48 (-82.35%)
tt7zcrack7z辅助破解工具 Fast 7zip crack assistant tool which support GPU/CPU, written in Python.
Stars: ✭ 12 (-95.59%)
lambdacube-quake3Quake 3 map viewer in Haskell using LambdaCube 3D
Stars: ✭ 66 (-75.74%)
VuhVulkan compute for people
Stars: ✭ 264 (-2.94%)
peakperfAchieve peak performance on x86 CPUs and NVIDIA GPUs
Stars: ✭ 33 (-87.87%)
opencv-cuda-dockerDockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings
Stars: ✭ 55 (-79.78%)
BifurcationKit.jlA Julia package to perform Bifurcation Analysis
Stars: ✭ 185 (-31.99%)
Sorting visualizationThe Sound of Sorting: Visualize and Audibilize 12 classic sorting algorithms in real time
Stars: ✭ 260 (-4.41%)
glip-libAn OpenGL Image Processing Library (in C++/GLSL).
Stars: ✭ 14 (-94.85%)
tiny-cuda-nnLightning fast & tiny C++/CUDA neural network framework
Stars: ✭ 908 (+233.82%)
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 (-1.47%)
Climatemachine.jlClimate Machine: an Earth System Model that automatically learns from data
Stars: ✭ 266 (-2.21%)