weiweijiuzaizhe Goto Github PK

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记录对于包括互联网在内的技术应用到教育中,以及从教育到产业应用的一些调查和设想

2013-recsys-paper-reading

ACM RecSys 2013过去已经有日子了，会上发布了好多paper，挑选一些出来读读，尤其是哪些有工业界背景的，希望拓宽视野，可以用到实际工作中。

academy_r_d

to show my reading,writing,thinking about the research and development in academy field.

aliyun-emapreduce-demo

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

books

bosen

Parallel ML System - Bosen project

colab_demo

common_source

ctr_pipeline

通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线

ctr_pipeline-1

make the ctr(click through rate prediction) pipeline as a service . Prepare the training and testing data as the ordered format and run the pipeline,you can get the model to be used in online ctr prediction

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning

Basic Deep Learning

difacto

Distributed Factorization Machines

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

easyml

Easy Machine Learning

education_technique

记录对于包括互联网在内的技术应用到教育中,以及从教育到产业应用的一些调查和设想

evaluating-recommenders

Compute and plot NDCG for a recommender system

fast_tffm

fast_tffm: Tensorflow-based Distributed Factorization Machine

fasttext

Library for fast text representation and classification.

field-aware-factorization-machine-ps

LR model solved by ftrl and sgd parallel on parameter server(ps-lite). FM、FFM model in the future

graphx

GraphX development repository (which will eventually be merged into Apache Spark)

java_online

the java source on orginal svn

java_source

my learning about java

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lc-all-solutions

My own lc solutions

logistic-regression-ftrl-ps

logistic regression model by ftrl based on ps-lite(parameter server)

make-ipinyou-data

This project is to formalise the iPinYou RTB data into a standard format for further researches.

models

Models built with TensorFlow