NideShop 开源微信小程序商城服务端 API（Node.js + ThinkJS）

fuint门店会员营销系统是一款集店铺收银、线上积分商城、营销一体的系统。基于Java SpringBoot、Vue、Uniapp，含微信小程序、h5、后台管理。具有优惠券、预存卡、实体卡、次卡、储值卡、电子券，会员积分体系，会员等级等营销功能。适合实体店铺结合线上电商系统，如：生鲜、零售超市、汽车4S店、花店、甜品店、餐饮等。可当收银系统使用，打通线下收银系统和线上商城

微信小程序商城，开源免费商用，海风小店

微信小程序 —— 新闻阅读器

本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

Get a notification when a long-running terminal process completes in the background.

A simple chat room to demonstrate knowledge in C++ using Bazel, Protocol Buffers, and gRPC.

CMake完整使用教程。CMake教程包括一系列循序渐进的任务，介绍CMake信息，展示如何实现目标。

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

C++ Linux WebServer服务器

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

足球领域的时间知识图谱：包括了本体的构建，数据的爬取，数据的解析，rdf/xml格式的数据生成，jena-fuseki用于存储，基于语义解析的问答系统

A TinyWebServer implemented inC++11.

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

A self-learning tutorail for CUDA High Performance Programing.

2020秋中山大学高性能计算课程课件与作业

Tensors and Dynamic neural networks in Python with strong GPU acceleration

MIT 6.824 distributed system C++Version

Source code of "BP-Im2col: An implicit Im2col framework for efficient CNN backpropagation", accepted at ICCD 2022 and "CRSPU: Exploit Commonality of Regular Sparsity to Support Various Convolutions…

Simple example of how to write an Implicit GEMM Convolution in CUDA using the tensor core WMMA API and bindings for PyTorch.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

CUDA Templates and Python DSLs for High-Performance Linear Algebra

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…