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litter Pig's Projects

alphafm icon alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

angel icon angel

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

arrow icon arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

awesome-recsys-papers icon awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

bandits icon bandits

Python library for Multi-Armed Bandits

bazel icon bazel

a fast, scalable, multi-language and extensible build system

bigdl icon bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

cfdemo icon cfdemo

Some collaborative filtering algorithm demo: User/Item-based CF, ALS, word2vec etc.

cikm-2019-analyticup icon cikm-2019-analyticup

2019-CIKM挑战赛,超大规模推荐之用户兴趣高效检索赛道 冠军解决方案

cpt icon cpt

This is the native Python implementation of CPT(compact Prediction Tree)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearningmovies icon deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

fastfm icon fastfm

fastFM: A Library for Factorization Machines

fastfm-core icon fastfm-core

A short paper describing the library is available on arXiv.

fp-growth icon fp-growth

A C++ implementation of the FP-growth algorithm

gflags icon gflags

The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:

glog icon glog

C++ implementation of the Google logging module

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