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hpcc-ecl-training

HPCC-ECL-Training

hpcc_automation

hpcclab

Clemson Computer Science LAB Session

kmeans

ECL bundle for KMeans calculation

ksu_hachathon2019

lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

ldadev

learningtrees

Classification and Regression Learning Tree implementation bundle repository

logisticregression

Bundle for binomial, multinomial, and ordinal logistic regression.

ml_core

Core ECL Machine Learning library

mlmetrics

mtkmeans

ncf-2018-student-code

Introductory ECL code for NCF

openspeedshop

Open|SpeedShop is a community effort by The Krell Institute with current direct funding from DOE’s NNSA and Office of Science. It is building on top of a broad list of community infrastructures, most notably Dyninst and MRNet from UW, libmonitor from Rice, and PAPI from UTK. Open|SpeedShop is an open source multi platform Linux performance tool which is targeted to support performance analysis of applications running on both single node and large scale Intel, AMD, ARM, Intel Phi, PPC, GPU processor based systems and on Blue Gene and Cray platforms.

pbblas

Parallel BLAS support for ECL Machine Learning library

soilsamples

solutions-ecl-training

stocktrade

For January 2019 Workshop

supercomputing2016-python

Materials for the Supercomputing 2016 tutorial on high performance Python

telematics

testyy

For the purpose of testing Yinyang Kmeans

textsearch

TextSearch ECL code

textvectors

Text vector bundle

thesis-latex

topics_over_time

Topics over Time implementation

train

useful_ecl

Useful functions and code snippets in the HPCC Systems ECL language

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

vade-pytorch

the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch