heerme

Pinned Repositories

CMAGEP
C++ and Python implementation of the CMAGEP algorithm for compact symbolic regression
Language:Python0 2 00
CMAGEP-MTSC
C++ and Python implementation of the CMAGEP-MTSC framework for multivariate time series classification by compact symbolic regression
Language:Python0 2 00
ge16manifestos
The political manifestos for Irish GE16.
Language:Jupyter Notebook1 2 00
hashtagger_plus_offline
Given a collection of documents and a collection of tweets from the same time period, this tool tags each document with relevant hashtags using the Hashtagger+ algorithm adapted to an offline setting.
Language:Python0 1 00
heerme.github.io
Testing github's blog features
Language:HTML0 2 00
may2016-stories
The data and the visualization of news storylines extracted from May 2016 news as described in http://aclweb.org/anthology/W/W16/W16-5703.pdf
Language:Jupyter Notebook0 1 00
Mr-SEQL
Time Series Classification with Multiple Symbolic Representations.
Language:C++0 1 00
news-tls
Language:Python0 1 00
seql-sequence-learner
Sequence classification in all-subsequence space
Language:C++12 5 35
twitter-topics
Python code for detecting topics/events from a Twitter stream
Language:Python101 9 346

heerme's Repositories

heerme/twitter-topics
Python code for detecting topics/events from a Twitter stream
Language:Python101 9 346
heerme/seql-sequence-learner
Sequence classification in all-subsequence space
Language:C++12 5 35
heerme/ge16manifestos
The political manifestos for Irish GE16.
Language:Jupyter Notebook1 2 00
heerme/CMAGEP
C++ and Python implementation of the CMAGEP algorithm for compact symbolic regression
Language:Python0 2 00
heerme/CMAGEP-MTSC
C++ and Python implementation of the CMAGEP-MTSC framework for multivariate time series classification by compact symbolic regression
Language:Python0 2 00
heerme/hashtagger_plus_offline
Given a collection of documents and a collection of tweets from the same time period, this tool tags each document with relevant hashtags using the Hashtagger+ algorithm adapted to an offline setting.
Language:Python0 1 00
heerme/heerme.github.io
Testing github's blog features
Language:HTML0 2 00
heerme/may2016-stories
The data and the visualization of news storylines extracted from May 2016 news as described in http://aclweb.org/anthology/W/W16/W16-5703.pdf
Language:Jupyter Notebook0 1 00
heerme/Mr-SEQL
Time Series Classification with Multiple Symbolic Representations.
Language:C++0 1 00
heerme/news-tls
Language:Python0 1 00
heerme/SAX-SEQL
Language:C++2 0
heerme/seqlgbm
Gradient Boosting Machine with linear models in all k-mer space
Language:C++2 0
heerme/sktime
A scikit-learn compatible Python toolbox for learning with time series data
Language:Python1 0
heerme/socialtree
Language:HTML1 0
heerme/SqLoss
Sequence Regression in All-Subsequence Space
Language:C++2 0
heerme/wcep-mds-dataset
Language:Python1 0