My personal blog: http://rui-wang.com. This is based on a free and open-source Jekyll theme, which is great for blogs and easy to customize.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Google Research

Scripts to share

Keyphrase extraction (TopicRank)

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

TensorFlow code and pre-trained models for BERT

Must-read papers on neural relation extraction (NRE)

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Presentation Ninja 幻灯忍者 · 写轮眼

This repository contains apache spark tutorials implemented with pypsark. For some machine learning methods, there will be comparisons between pyspark and R results.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

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…

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

Natural Language Processing with Spark's MLlib

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