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ad-papers

Papers on Computational Advertising

algorithm-practice-in-industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

ansj_fast_lda

LDA 的java实现

ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

beginner_nlp

A curated list of beginner resources in Natural Language Processing

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

cnn_sentence

CNNs for sentence classification

data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dkrl

Representation Learning of Knowledge Graphs with Entity Descriptions

douban-recommender

基于Spark ML实现的豆瓣电影推荐系统

dplp

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gstore

gStore v2.0 - a graph based RDF triple store.

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

librec

LibRec: A Java Library for Recommender Systems, see

neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

pockethub

PocketHub Android App

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

questionansweringsystem

QuestionAnsweringSystem是一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。

relation_extraction

Knowledge Base Embedding

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

sparkinternals

Notes talking about the design and implementation of Apache Spark

study

tensorflow

Computation using data flow graphs for scalable machine learning

thinkleet

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow