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bhupesh19's Projects

algorithm-cheat icon algorithm-cheat

Algorithm tutorials and simple multi-language implementations with unit tests. Test case data in language agnostic file formats. Usually updated when I'm grinding for job interviews :-)

apollo icon apollo

An open autonomous driving platform

awesome-c icon awesome-c

A curated list of awesome C frameworks, libraries and software.

awesome-cpp icon awesome-cpp

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesomeperfcpp icon awesomeperfcpp

A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.

books icon books

ROS学习相关电子书,目前收集了10本

caffe icon caffe

Caffe: a fast open framework for deep learning.

cmake icon cmake

CMake Examples (CMake, CMake+CUDA, CMake+CUDA+PandaRoot)

cmsis_5 icon cmsis_5

CMSIS Version 5 Development Repository

compphys icon compphys

CompPhys - a Computational Physics repository

computelibrary icon computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

cpp-cheat icon cpp-cheat

C and C++ minimal examples. Asserts used wherever possible. Hello worlds for cool third party libraries. Cheatsheets, tutorials and mini-projects.

cuda icon cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-1 icon cuda-1

CUDA Hands-on training material by Jack

cudatemplates icon cudatemplates

The "CUDA templates" are a collection of C++ template classes and functions which provide a consistent interface to NVIDIA's "Compute Unified Device Architecture" (CUDA), hiding much of the complexity of the underlying CUDA functions from the programmer (see the brief overview of the main features). Original author: Markus Grabner

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

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