526 Open source projects that are alternatives of or similar to gproshan

HIP: C++ Heterogeneous-Compute Interface for Portability

A Docker image for PyTorch

CUDA Homomorphic Encryption Library

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

A library providing FFI access to fast Ramer–Douglas–Peucker and Visvalingam-Whyatt line simplification algorithms

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

World's fastest and most advanced password recovery utility

Open3D: A Modern Library for 3D Data Processing

Fuse multiple depth frames into a TSDF voxel volume.

Chamfer Distance in Pytorch with f-score

(Mirror of GitLab) GPGPU Framework for Rust

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.

H2Oai GPU Edition

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

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

Go package for computer vision using OpenCV 4 and beyond.

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

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

A Geometry library for Elixir that calculates spatial relationships between two geometries

Julia support for native CUDA programming

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

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

Self-hosted NVR with object detection

cuDF - GPU DataFrame Library

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

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Geometric operations on polytopes of any dimension

CUDA programming in Julia.

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

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

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):

Stereo Semi Global Matching by cuda

Real-time dense visual SLAM system

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

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Python bindings for ArrayFire: A general purpose GPU library.

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

Some basic programming tutorials

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

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

A fast and highly scalable GPU dynamic memory allocator

Source code that accompanies The CUDA Handbook.

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

CUDA Data Parallel Primitives Library

Deep learning with cats (^._.^)

GPU-accelerated micromagnetic simulator

Examples of C# code compiled to GPU by hybridizer

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

Weighted MinHash implementation on CUDA (multi-gpu).

The C++ parallel algorithms library.

A header-only C implementation of the Quickhull algorithm for building N-dimensional Convex Hulls and Delaunay meshes

GraphVite: A General and High-performance Graph Embedding System

Fast inference engine for OpenNMT models

A CUDA project for Molecular Dynamics, Brownian Dynamics, Hydrodynamics... intended to simulate a very generic system constructing a simulation with modules.

An implementation of the RoiAlign operation for Theano

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

No description or website provided.

A point in polygon library based on the paper "Optimal Reliable Point-in-Polygon Test and Differential Coding Boolean Operations on Polygons" by Hao