gongmingming Goto Github PK

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

androidlibsvm

The well-known libSVM on Android layered by Java Native Interface (JNI).

androidnotificationtts

一款Android app，用来语音播报通知信息

apkinspector

APKinspector is a powerful GUI tool for analysts to analyze the Android applications.

barcodescan

bert

TensorFlow code and pre-trained models for BERT

bigdata_project

电商大数据项目-推荐系统(java和scala语言)

bookreader

:closed_book: "任阅" 网络小说阅读器，追书推荐收藏、书籍/标签检索、模拟翻书的翻页效果、缓存书籍、日夜间模式、书签、txt/pdf/epub书籍阅读、Wifi传书~

chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

cloudreader

云阅：一款基于网易云音乐UI，使用玩安卓、Gank.Io及豆瓣api开发的符合Google Material Design的Android客户端。项目采取的是MVVM-DataBinding架构开发，现主要包括：玩安卓区、干货区和电影区三个子模块。DIY网易云音乐原来是如此Cool~

ctrmodels

DCN， Wide & Deep， FM， DeepFM

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deeplearningbook-chinese

Deep Learning Book Chinese Translation

droidbench

A micro-benchmark suite to assess the stability of taint-analysis tools for Android

dstn

Deep Spatio-Temporal Neural Network (DSTN)

funproj

一个简单的图片视频音乐app,material design风格。项目结构采用mvp。retrofit2封装,recycleview加载,mediaPlay管理类的封装，简单的音乐播放,glide图片加载。

gongmingming.github.com

My online resume

imooc-echarts

imooc的echarts入门教程

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

kaggle_criteo_ctr_challenge-

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

kingtv

高仿全民直播（全民TV），项目采用 MVP + RXJava + Retrofit + OKHttp + Material Design + Dagger2 + Base + Glide + GreenDao构建。

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

listenermusicplayer

A Grace Material Design Music Player

meituan

MeiTuan App Write In latest React-Native(0.44.0)

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mmall_learning

mmall_learning

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。

movielens

4 different recommendation engines for the MovieLens dataset.