chumingqian's repositories
Model_Compression_For_YOLOV3-V4
In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,
Deploy_Yolov4_On_Ultra96_v2
Model deployment, Yolov4, xilinx, Ultra96_v2.
Making_Dataset-For-Yolov3v4
COCO, VOC ,dataset , Ultralytics version - yolov3v4
interview
📚 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, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
AEC_DeepModel
基于深度学习的声学回声消除基线代码
attention-cnn
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
awesome-attention-mechanism-in-cv
:punch: CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module
awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
cs-self-learning
计算机自学指南
Deploy_Yolov4_-Yolov5_On_Jetson
Yolov4 deployment on Jetson Nano
embedded-notes
嵌入式linux软件开发、嵌入式linux驱动开发、c语言、单片机开发、IOT开发等面试要点记录
EmbedSummary
精品嵌入式资源汇总
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
flash-linux0.11-talk
操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
InterviewGuide
「InterviewGuide」一个收录优质计算机校招、社招面试常见面试题的仓库🔥🔥，以前叫做《逆袭进大厂》。目前已收录 C/C++ 、操作系统、数据结构、计算机网络、MySQL、Redis等面试资料,未来打算继续收录Java、Python、Go等面试常见问题，坚持将此仓库维护下去。
labuladong-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
multimodal-classification
Machine learning ATSI project: joint audio and image classification
NYU-DLSP21
NYU Deep Learning Spring 2021
pwlu-pytorch
Unofficial pytorch implementation of Piecewise Linear Unit dynamic activation function
reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
TinyNeuralNetwork
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.