heyichang's Stars
wangpengnorman/FVQA
RUCAIBox/Awesome-KBQA
Paper list of KBQA
ChandlerBang/Movie-QA-System
基于知识图谱的电影问答系统。 This is a simple question answering and recommender system on movies (based on Knowledge Graph).
patrickloeber/pytorchTutorial
PyTorch Tutorials from my YouTube channel
sanket0211/WK-VQA
World Knowledge Based Visual Question Answering
jd-aig/nlp_baai
NLP models and codes for BAAI-JD joint project.
wangmengsd/richpedia
Richpedia: A Comprehensive Multi-Modal Knowledge Graph
loujie0822/Pre-trained-Models
预训练语言模型综述
google-research/bert
TensorFlow code and pre-trained models for BERT
gatieme/CodingInterviews
剑指Offer——名企面试官精讲典型编程题
sfyc23/EverydayWechat
微信助手:1.每日定时给好友(女友)发送定制消息。2.机器人自动回复好友。3.群助手功能(例如:查询垃圾分类、天气、日历、电影实时票房、快递物流、PM2.5等)
Nauyusli/EverydayWechat
每日自动给女朋友发微信暖心话。
liuyanling41/Spark-real-time-analysis
Real-Time Analysis Integration with Kafka in Apache Spark’s Structured Streaming
GezimSejdiu/flink-starter
Apache Flink demo example
salesforce/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
OryxProject/oryx
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
apachecn/xgboost-doc-zh
XGBoost 中文文档
apolloconfig/apollo
Apollo is a reliable configuration management system suitable for microservice configuration management scenarios.
ymgd/codereader
跟大咖一起读源码
MaxiaoyuHehe/ML-Prerequests
机器学习的预备知识(矩阵论,概率论,凸优化等)
fuhmmin/it-ebooks-cn
计算机电子书pdf整理
udacity/machine-learning
Content for Udacity's Machine Learning curriculum
dashee87/blogScripts
Repository for code used in my blog posts
keras-team/keras
Deep Learning for humans
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
llSourcell/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
udacity/aind2-cnn
AIND Term 2 -- Lesson on Convolutional Neural Networks
ningg/flume-ng-extends-source
Source of Flume NG for tailing files and folders
heyichang/ml-record
record some information in studing machine learning