kkk's repositories
deep_learning
Basic Deep Learning
DKN
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
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
spark-summit-2017-Europe
Spark summit 2017 europe ppt下载
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
simplified-deeplearning
Simplified implementations of deep learning related works
neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
pdf.js
PDF Reader in JavaScript
tensorflow
Computation using data flow graphs for scalable machine learning
models
Models built with TensorFlow
tensorflow_demo
some demos about tensorflow
noscope
Accelerating network inference over video
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
fast_tffm
fast_tffm: Tensorflow-based Distributed Factorization Machine
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
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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
tf-stanford-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
lc-all-solutions
My own lc solutions
deep-ctr
An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
OpenLearning4DeepRecsys
Some deep learning based recsys for open learning.
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
WebIDE
Coding WebIDE Community Edition
EasyML
Easy Machine Learning
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