yhchoi-ko

ft_containers

This project aims to provide a custom implementation of several C++ Standard Template Library (STL) containers, including vector, stack, map, pair, lexographical_compare, as well as various additional features like iterator_traits, equal, queue, set, multimap, multiset, functional STL, iterator system, and allocator.

vector_implementation

C++ implementation of a custom allocator (My_Allocator) and dynamic array container (vector)

custom_vector

Implementation of simple custom vector class + simple custom allocator class (C++)

Cpp-Matrix-implementation

This Class implements C++ matrices to work with 2D matrices, using just 1D arrays. This matrices can be used in CUDA and OpenCL since these frameworks work only with 1D arrays.

CustomAllocator

cpp-memory-allocators

Multiple custom memory allocators and a basic benchmarking tool written in C++

allocator-cpp

A C++ customized allocator based on a simple memory pool

Memory-Allocators

A set of custom memory allocators

wb_alloc

Easy to use custom allocators in a single-header, public domain C/C++ library

A5

C++ Custom memory allocators

Cougar

Modern C++ Stack and Static based allocators + a Custom Aligned allocator

memory-allocators

Custom memory allocators in C++ to improve the performance of dynamic memory allocation

cusplibrary

CUSP : A C++ Templated Sparse Matrix Library

cccl

CUDA Core Compute Libraries

rocThrust

ROCm Thrust - run Thrust dependent software on AMD GPUs

SuiteSparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

yannpp

Deep Neural Network from scratch in C++ for learning purposes

cppcon-2017

Deep Learning With C++

DeepFrame

Deep learning algorithms developed by ourselves from scratch by C++. No deep learning frameworks are used.

DeepLearningFramework

Deep Learning in pure C++

artificial_intelligence

My C++ deep learning framework & other machine learning algorithms