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

Fork of CUDA GPU memtest 👓

Image-processing software for cryo-electron microscopy

No description or website provided.

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

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

Haste: a fast, simple, and open RNN library

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.

HIP: C++ Heterogeneous-Compute Interface for Portability

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

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.

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

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

Self-hosted NVR with object detection

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

CUDA bindings for Ruby

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

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

Examples of C# code compiled to GPU by hybridizer

Experimental parallel compression algorithm

Build userspace NVMe drivers and storage applications with CUDA support

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

Burstcoin C++ CPU and GPU Miner

JetScan : GPU accelerated portable RGB-D reconstruction system

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

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

Deforming kernels to adapt towards object deformation. In ICLR 2020.

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

QUDA is a library for performing calculations in lattice QCD on GPUs.

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

NCCL Tests

A stream processing framework for high-throughput applications.

Open Aircraft Performance Model and Python Toolkit

A Neural Network Toolkit.

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).

An open-source library of algorithms to analyse time series in GPU and CPU.

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

🐜 A CUDA based miner for Monero

GPU-accelerated N-Body particle simulator with visualizer.

RAPIDS Memory Manager

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

Domain-invariant Stereo Matching Networks

continuous energy monte carlo neutron transport in general geometries on GPUs

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

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

Numerical linear algebra software package

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

A dataset of 15 million CAD sketches with geometric constraint graphs.

A CUDNN minimal deep learning training code sample using LeNet.

☁️ Volumetric path tracer using cuda

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

Achieve peak performance on x86 CPUs and NVIDIA GPUs

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

a reimplementation of Holistically-Nested Edge Detection in PyTorch

CUDA-accelerated GIS and spatiotemporal algorithms

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