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Login: Intel-bigdata

Company: null

Location: null

email: null

Blog: null

Members

  1. Jiajia Li
  2. Liu, Linhong
  3. Zhongyue Nah

Repositories

AdaOptimizer-Spark
null
bd
ansible playbook for deploying data labs
caffe
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
CaffeOnYARN
Support running Caffe on YARN
ceph-cm-ansible
Ansible configurations for Ceph.com infrastructure
ceph-mesos
A Mesos framework for scaling a Ceph cluster.
CRF
ConditionalRandomField
CRF-Spark
A Spark-based implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data
FFM-Spark
null
FlintStone
A parser with SQL standard support for Spark SQL
FM-Spark
null
hbase-spark-datasource
HBase datasource for SparkSQL and DataFrames
HDCS
Hyper-converged Distributed Cache Store
HDL
Support Deep Learning on Hadoop platform
HDL-backup
Mirror of Apache Hadoop for Deep Learning support
HLKVDS
A Hybrid Layout Key Value Data Store
imllib-spark
null
maven-repo
maven repository
mkl_wrapper_for_non_CDH
null
mkl-wrappers-parcel-repo
null
MXNetOnYARN
Support running MXNet on YARN
nvml
Active development tree for the NVM Library
OAP
Optimized Analytics Package for Spark Platform
s3-tests
Compatibility tests for S3 clones
spark
Mirror of Apache Spark
spark-streamingsql
Manipulate Spark-streaming by SQL
SSM
Smart Storage Management for Big Data, a comprehensive hot/cold data optimized solution
ssm-tidb
A modified version of TiDB for SSM usage
swift
OpenStack Object Storage (Swift)
TensorFlowOnYARN
Support TensorFlow on YARN
teuthology
Ceph test suite
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.