【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

LLM training in simple, raw C/CUDA

[SIGMOD' 25] A fast parallel kd-tree implementation

GPU Programming with C++ and CUDA, published by Packt

A collection of min-cut/max-flow algorithms.

Book: Quantum Computing Architecture and Hardware for Engineers - Step by Step

ICS'25: Parallel Contraction Hierarchies Can Be Efficient and Scalable

Solve puzzles. Learn CUDA.

ParMETIS - Parallel Graph Partitioning and Fill-reducing Matrix Ordering

Shared-Memory and Distributed-Memory Parallel Graph Partitioning

KaHIP -- Karlsruhe HIGH Quality Partitioning.

A complete computer science study plan to become a software engineer.

Creates contraction hierarchy graphs for multi metric graphs

SPAA'23: High-Performance and Flexible Parallel Algorithms for Semisort and Related Problems

A concise Hexo theme, based on Particle.

Header-only C++/python library for fast approximate nearest neighbors

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…