399 Open source projects that are alternatives of or similar to disptools

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

Forward and Inverse Kinematics for Robotic Manipulator

A stream processing framework for high-throughput applications.

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:

A CUDNN minimal deep learning training code sample using LeNet.

CUDA bindings for Ruby

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

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).

My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

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

Base container for developing C++ and Fortran HPC applications

a reimplementation of Holistically-Nested Edge Detection in PyTorch

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

DBCSR: Distributed Block Compressed Sparse Row matrix library

Experimental parallel compression algorithm

GPU-accelerated data science and visualization in node

JetScan : GPU accelerated portable RGB-D reconstruction system

Implementation of LIBELAS in cuda.

continuous energy monte carlo neutron transport in general geometries on GPUs

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

GPU-accelerated N-Body particle simulator with visualizer.

package cu provides an idiomatic interface to the CUDA Driver API.

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

CUDA-accelerated GIS and spatiotemporal algorithms

Achieve peak performance on x86 CPUs and NVIDIA GPUs

No description or website provided.

Robotics with GPU computing

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Lane depertaure and Yolo objection detection C++ Linux

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

Lightweight Cuda Renderer with Python Wrapper.

Simple 2d finite volume solver for Euler equations using c++ kokkos library

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Let's jump into CUDA development with Rust

Social 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

GitHub Action to install CUDA

software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html

GPU Raytracer from scratch in C++/CUDA

RPDC : This contains all my MATLAB codes for the Robotics, Planning, Dynamics and Control . The implementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems.

An efficient C++17 GPU numerical computing library with Python-like syntax

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

BriefMatch real-time GPU optical flow

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.

GPU-accelerated Cloth TOP node for TouchDesigner using the NVIDIA Flex physics solver.

Explore the Capabilities of the TensorRT Platform

Several simple examples for popular neural network toolkits calling custom CUDA operators.

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

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

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

This repository consists for gpu bootcamp material for HPC and AI

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

GPU Fluid Simulation with Volumetric Rendering

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

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

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

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

Fork of CUDA GPU memtest 👓

geometry processing and shape analysis framework