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articles

:notebook_with_decorative_cover: 简书文章中的材料

bn

贝叶斯网络

fm_tensorflow

Factorization Machines implementation with Tensorflow

ijcai-2018

ijcai-2018 top1 solution

jdata-2018

Code for JData-2018

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.

machine-learning-summary

My own study summary,including machine learning knowledge with codes.

ml_algorithms

The implementation of some machine learning algorithms

mlhub123

机器学习&深度学习网站资源汇总（Machine Learning Resources）

pgmpy

Python Library for Probabilistic Graphical Models

ptb-dataset-from-tomas-mikolov-s-webpage

snippet

just some code snippet

sppnet

Spatial Pyramid Pooling on top of AlexNet using tensorflow

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

tensorflow-vgg

Tensorflow implementation of VGG 16 and VGG 19

tensorflow_practice

tensorflow的一些实战练习

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