Pinned Repositories
6.828_labs_2012
mit course 6.828:Operating System Engineering Fall 2012
argmax-perf
Performance of argmax in different systems/libraries
dpmm
dirichlet process mixture model, using gibbs sampling
Web2Snap
Convert webgraph format file to snap format.
xv6
mit course 6.828 : xv6
intoraw's Repositories
intoraw/Web2Snap
Convert webgraph format file to snap format.
intoraw/argmax-perf
Performance of argmax in different systems/libraries
intoraw/datafusion
Apache DataFusion SQL Query Engine
intoraw/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
intoraw/dimmwitted
intoraw/dmlc-core
A common code-base for Distributed Machine Learning in C++
intoraw/Flux
intoraw/fold
Deep learning with dynamic computation graphs in TensorFlow
intoraw/folly
An open-source C++ library developed and used at Facebook.
intoraw/gemm-bench
intoraw/graphlab
A framework for large-scale machine learning and graph computation.
intoraw/graphx-bench
intoraw/grpc
The C based gRPC (C++, Node.js, Python, Ruby, Objective-C, PHP, C#)
intoraw/mem-bench
intoraw/ml-coursera-2015
intoraw/ml-exp
intoraw/models
Models built with TensorFlow
intoraw/mpi-hack
random hack on mpi
intoraw/mshadow
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
intoraw/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
intoraw/pagerank
Single thread graph computation with hilbert order.
intoraw/pelican-bootstrap3
Bootstrap 3 theme for Pelican
intoraw/polymer
A NUMA-aware Graph-structured Analytics Framework
intoraw/ps-lite
A lightweight parameter server interface
intoraw/rpcstream
demo showing how to build stream rpc with unary rpc calls
intoraw/spark
Mirror of Apache Spark
intoraw/svdpp
SVD++
intoraw/tensorflow
Computation using data flow graphs for scalable machine learning
intoraw/tf-app
play with tensorflow applications
intoraw/wormhole
Portable, Scalable and Reliable Distributed Machine Learning, support various platforms including Hadoop YARN, MPI, etc.