pahkoliu's Stars
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
coreybutler/nvm-windows
A node.js version management utility for Windows. Ironically written in Go.
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
apache/rocketmq
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
qinguoyi/TinyWebServer
:fire: Linux下C++轻量级WebServer服务器
linyacool/WebServer
A C++ High Performance Web Server
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Exrick/xmall
基于SOA架构的分布式电商购物商城 前后端分离 前台商城:Vue全家桶 后台管理系统:Dubbo/SSM/Elasticsearch/Redis/MySQL/ActiveMQ/Shiro/Zookeeper等
amdegroot/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
hoverwinter/HIT-OSLab
S - 哈工大《操作系统》实验
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
Tencent/ObjectDetection-OneStageDet
单阶段通用目标检测器
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
woai3c/MIT6.828
实现一个操作系统内核
FighterLYL/GraphNeuralNetwork
《深入浅出图神经网络:GNN原理解析》配套代码
lxztju/pytorch_classification
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
SmallPond/MIT6.828_OS
MIT 6.828 Operating System Lab https://pdos.csail.mit.edu/6.828/2018/schedule.html
Magic-Bubble/RecommendSystemPractice
《推荐系统实践》代码实现
km1994/RES-Interview-Notes
该仓库主要记录 推荐系统 算法工程师相关的面试题
goodboyv/Sklearn_Mochine_leanring
利用sklearn实现机器学习算法:线性回归、逻辑回归、决策树、随机森林、SVM等
jiangnanxiaoshuaigua/movies_recommend_system
电影推荐系统
wangyuyunmu/Recommended-system-practice
项亮等《推荐系统实践》算法代码
IlyaKisil/dpm-coursework
:orange_book: Materials for EE4-13 Adaptive Signal Processing and Machine Intelligence (2019-2020)
DingdongD/aquatic-activity-dataset
RangeKing/louplus-ml
实验楼 《楼+ 机器学习实战》课程挑战作业参考答案 https://www.shiyanlou.com/louplus/ml
ChengWuOne/MachineLearning
Machine Learning in Action(机器学习实战)