403 Open source projects that are alternatives of or similar to Knn Cuda

Learn CUDA Programming, published by Packt

A stream processing framework for high-throughput applications.

Various C/C++ examples. DirectX, OpenGL, CUDA, Vulkan, OpenCL.

GPU-accelerated N-Body particle simulator with visualizer.

Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

Code accompanying my blog post on k-means in Python, C++ and CUDA

A domain-specific language and compiler for image processing

Achieve peak performance on x86 CPUs and NVIDIA GPUs

gprMax 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)

geometry processing and shape analysis framework

TensorFlow builds compiled on windows with avx and avx2 extensions

Base container for developing C++ and Fortran HPC applications

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

[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。

DBCSR: Distributed Block Compressed Sparse Row matrix library

Implementation of the KinectFusion approach in modern C++14 and CUDA

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

GPU-accelerated data science and visualization in node

A Curious Cumulation of CUDA Cuisine

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.

Implementation of LIBELAS in cuda.

PopSift is an implementation of the SIFT algorithm in CUDA.

A GPU-powered real-time analytics storage and query engine.

A simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.

A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

Explore the Capabilities of the TensorRT Platform

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

Script to remotely check GPU servers for free GPUs

Simple physically based path tracer based on Nvidia's Optix Ray Tracing Engine

continuous energy monte carlo neutron transport in general geometries on GPUs

Tengine is a lite, high performance, modular inference engine for embedded device

A library for real-time video stream decoding to CUDA memory

Robotics with GPU computing

bazel.cmake mimics the behavior of bazel to simplify the usability of CMake

DeepSpeech neon implementation

A cross-platform CUDA/C++14 starter project with google test and google benchmark support.

an implementation of softmax splatting for differentiable forward warping using PyTorch

Experimental parallel compression algorithm

Super simple & easy Windows 10 cryptocurrency miner made by NiceHash.

The FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.

SDK for GPU accelerated genome assembly and analysis

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Distributed multigrid linear solver library on GPU

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Facebook's CUDA extensions.

Fork of CUDA GPU memtest 👓

Unsupervised Learning of Video Representations using LSTMs

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

Implementation of Cuda to OpenGL rendering

Lightweight Cuda Renderer with Python Wrapper.