780 Open source projects that are alternatives of or similar to Gpusorting

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cuDF - GPU DataFrame Library

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

Problem-solving

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Single file libraries for C/C++

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Python3 数据结构与算法的介绍及应用。1. 数据结构：数组、链表、栈、队列、树、堆、图； 2. 典型排序算法：冒泡排序、选择排序、插入排序、希尔排序、堆排序、归并排序、快速排序、桶排序、计数排序、基数排序； 3. 查找算法： 顺序查找、二分查找、哈希表查找、二叉查找树、平衡二叉查找树(AVL树、红黑树)、平衡多路查找树(B树、B+树)；4. LeetCode 和《剑指Offer》刷题、多种方法的题解

Common algorithms implemented in JavaScript.

RealSR super resolution implemented with ncnn library

Hardware accelerated voxel ray marching

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Comparison and benchmark of JavaScript serialization libraries (Protocol Buffer, Avro, BSON, etc.)

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Sorting algorithms in multiple languages.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

90%+ with 40 labels. please see the readme for details.

Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Segment Trees etc.

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:

Through this configuration, no per voxel data is transferred between the GPU and the CPU at runtime.

A consolidated collection of resources for you to learn and understand algorithms and data structures easily.

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).

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Rust implementation of SPIR-V module processing functionalities

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Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux

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A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

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