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adapter

Shim to insulate apps from spec changes and prefix differences. Latest adapter.js release:

app

bullshitgenerator

Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

clexi

设计模式第二章lexi的C++实现(realization of lexi which described in GoF book chapter 2).

cppgithubexample

ctr

CTR模型代码和学习笔记总结

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

face

faceAI

fava_lft

Linear feature transformation framework based on FAVA

gameproject3

跨平台的游戏服务器框架，支持多进程分布式部署,支持Lua脚本，还包含一个资源丰富U3D体验客户端，持续开发中。

irmf

Luo X, Xia Y, Zhu Q. Incremental collaborative filtering recommender based on regularized matrix factorization[J]. Knowledge-Based Systems, 2012, 27: 271-280.

javascript-page

javascript 分页部分

jianshenapp

myfierstproject

libmf

librec

LibRec: A Leading Java Library for Recommender Systems, see

models

Models and examples built with TensorFlow

movie_recommend

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

movie_recommender

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

myd

personal repository

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

node-server

使用Node.js搭建Web服务器示例

open62541-arduino

open62541 OPC UA example for Arduino

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pack

背包问题九讲

phpsocket.io

A server side alternative implementation of socket.io in PHP based on workerman.

pytorch-book

RNNPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

r-project

R语言项目

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

rmf_r

An online-updating regularized matrix factorization with linear kernel [Rendle S, Schmidt-Thieme L. Online-updating regularized kernel matrix factorization models for large-scale recommender systems[C]//Proceedings of the 2008 ACM conference on Recommender systems. ACM, 2008: 251-258.]

smarty