bjyanli Goto Github PK

amar

Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

colinucb_revised

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

ffm

field-aware factorization machine implemented by java with an experiment using criteo data set.

jlibffm

A Java implementation of LIBFFM: A Library for Field-aware Factorization Machines

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。

libffm-python

A Python wrapper for LibFFM

libfm

Library for factorization machines

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machinelearningtrick

Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest

ml_research

ml_spark

the python code of the book:Machine Learning for Spark

neural_collaborative_filtering

Neural Collaborative Filtering

neural_factorization_machine

TenforFlow Implementation of Neural Factorization Machine

openlearning4deeprecsys

Some deep learning based recsys for open learning.

ranksys

Java 8 Recommender Systems framework for novelty, diversity and much more

sigir16-eals

Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

tc_mobile

tensorflow

Computation using data flow graphs for scalable machine learning

tfword2vec

thrifttest

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

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

youtube-recommendation-tensorflow

code of paper `Deep Neural Networks for Youtube Recommendation`