401 Open source projects that are alternatives of or similar to ThrustRTC

🌀 Oxygen Engine 2.0. [Preview] Discord: https://discord.gg/P3aMf66

World's fastest and most advanced password recovery utility

BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

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.

Open3D: A Modern Library for 3D Data Processing

Chamfer Distance in Pytorch with f-score

Fuse multiple depth frames into a TSDF voxel volume.

A simple GPU hash table implemented in CUDA using lock free techniques

(Mirror of GitLab) GPGPU Framework for Rust

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

H2Oai GPU Edition

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

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

Go package for computer vision using OpenCV 4 and beyond.

Self-hosted NVR with object detection

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

SUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode

Julia support for native CUDA programming

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

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

cuDF - GPU DataFrame Library

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda

CUDA programming in Julia.

CUDA bindings for Ruby

VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.

Real-time dense visual SLAM system

Stereo Semi Global Matching by cuda

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

A code generator for array-based code on CPUs and GPUs

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

Python bindings for ArrayFire: A general purpose GPU library.

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

Some basic programming tutorials

A fast and highly scalable GPU dynamic memory allocator

A C++-based, cross platform ray tracing library

Examples of C# code compiled to GPU by hybridizer

Source code that accompanies The CUDA Handbook.

Deep learning with cats (^._.^)

CUDA Data Parallel Primitives Library

Experimental parallel compression algorithm

GPU-accelerated micromagnetic simulator

Weighted MinHash implementation on CUDA (multi-gpu).

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).

Build userspace NVMe drivers and storage applications with CUDA support

custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings

Fast k nearest neighbor search using GPU

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

3D Spatial Transformer Network

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

Generate displacement fields with known volume changes

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

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

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.

Robotics with GPU computing

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)