Mu Li

Login: mli

Company: Amazon

Location: Palo Alto, CA

Bio: Principal Scientist at AWS Deep Learning. We are hiring.

Blog: http://www.cs.cmu.edu/~muli/

Blog: http://www.cs.cmu.edu/~muli/

Member of

  1. Distributed (Deep) Machine Learning Community
  2. The Apache Software Foundation

Repositories

15721-ta
scripts for TAing 15721
arrayfire
ArrayFire: a general purpose GPU library.
Artificial-Intelligence-Terminology
The English-Chinese paired terminologies in Artificial Intelligence Domain
ctr-data
sample ctr dataset
cvpr17
CVPR 2017 Tutorial
data
datasets
deps
null
difacto
Distributed Factorization Machines
dlmark
null
gluon-api
A clear, concise, simple yet powerful and efficient API for deep learning.
gluon-crash-course
A 60min Gluon crash course
gluon-tutorials
null
gluon-tutorials-zh
??MXNet/Gluon?????????
jekyll-TeXt-theme
? A text first theme for Jekyll.
jenkins-atlassian-theme
Jenkins improved UI - Atlassian style
kitian616.github.io
My personal site, Powered by Jekyll & TeXt Theme.
linkedin-scraper
null
mli.github.io
personal blog
monochrome
Minimal, responsive, SEO ready blogging template built for Jekyll. Demo -
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
mxnet-benchmark
null
mxnet-notebooks
null
mxnet-the-straight-dope
Much easy, so MXNet. Wow.
notebook
Jupyter Interactive Notebook
notedown
Markdown <=> IPython Notebook
nystrom
null
parameter_server_docker
null
parsa
Distributed Graph Partitioning
peloton-test
SQL Regresssion Testing Framework for the Peloton DBMS
powerball
Matlab codes for the powerball methods
protoc-gen-doc
Documentation generator plugin for Google Protocol Buffers
ps-lite
null
slides
to host some slides
third_party
depended libraries of parameter server
tvm
bring deep learning workloads to bare metal

Commits To

RepositoryMost Recent Commit# Commits


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.