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boilerpipe from group de.l3s.boilerpipe (version 1.1.0)
The boilerpipe library provides algorithms to detect and remove the surplus "clutter" (boilerplate, templates) around the main textual content of a web page.
The library already provides specific strategies for common tasks (for example: news article extraction) and may also be easily extended for individual problem settings.
Extracting content is very fast (milliseconds), just needs the input document (no global or site-level information required) and is usually quite accurate.
Boilerpipe is a Java library written by Christian Kohlschütter. It is released under the Apache License 2.0.
The algorithms used by the library are based on (and extending) some concepts of the paper "Boilerplate Detection using Shallow Text Features" by Christian Kohlschütter et al., presented at WSDM 2010 -- The Third ACM International Conference on Web Search and Data Mining New York City, NY USA.
10 downloads
Artifact boilerpipe
Group de.l3s.boilerpipe
Version 1.1.0
Last update 03. November 2010
Organization not specified
URL http://code.google.com/p/boilerpipe/
License Apache License 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.l3s.boilerpipe
Version 1.1.0
Last update 03. November 2010
Organization not specified
URL http://code.google.com/p/boilerpipe/
License Apache License 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
jadex-rules-base from group org.activecomponents.jadex (version 4.0.267)
Jadex Rules is a small lightweight rule engine, which currently employs the well-known Rete algorithm for highly efficient rule matching. Jadex rules is therefore similar to other rule engines like JESS and Drools. Despite the similarities there are also important differences between these systems:
* Jadex Rules is very small and intended to be used as component of other software. Even though rules can be specified in a Java dialect as well as (a small variation of) the CLIPS language its primary usage is on the API level. Jadex Rules is currently the core component of the Jadex BDI reasoning engine.
* Jadex Rules cleanly separates between state and rule representation. This allows the state implementation as well as the matcher to be flexibly exchanged. Some experiments have e.g. been conducted with a Jena representation. Regarding the matcher, it is planned to support also the Treat algorithm, which has a lower memory footprint than Rete.
* Jadex Rules pays close attention to rule debugging. The state as well as the rete engine can be observed at runtime. The rule debugger provides functionalities to execute a rule program stepwise and also use rule breakpoints to stop the execution at those points.
Group: org.activecomponents.jadex Artifact: jadex-rules-base
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Artifact jadex-rules-base
Group org.activecomponents.jadex
Version 4.0.267
Last update 08. September 2022
Organization not specified
URL https://www.activecomponents.org
License GPL-3.0
Dependencies amount 4
Dependencies jadex-util-commons, jadex-util-concurrent, jadex-serialization-xml, antlr-runtime,
There are maybe transitive dependencies!
Group org.activecomponents.jadex
Version 4.0.267
Last update 08. September 2022
Organization not specified
URL https://www.activecomponents.org
License GPL-3.0
Dependencies amount 4
Dependencies jadex-util-commons, jadex-util-concurrent, jadex-serialization-xml, antlr-runtime,
There are maybe transitive dependencies!
jadex-rules from group org.activecomponents.jadex (version 3.0.117)
Jadex Rules is a small lightweight rule engine, which currently employs the well-known Rete algorithm for highly efficient rule matching. Jadex rules is therefore similar to other rule engines like JESS and Drools. Despite the similarities there are also important differences between these systems:
* Jadex Rules is very small and intended to be used as component of other software. Even though rules can be specified in a Java dialect as well as (a small variation of) the CLIPS language its primary usage is on the API level. Jadex Rules is currently the core component of the Jadex BDI reasoning engine.
* Jadex Rules cleanly separates between state and rule representation. This allows the state implementation as well as the matcher to be flexibly exchanged. Some experiments have e.g. been conducted with a Jena representation. Regarding the matcher, it is planned to support also the Treat algorithm, which has a lower memory footprint than Rete.
* Jadex Rules pays close attention to rule debugging. The state as well as the rete engine can be observed at runtime. The rule debugger provides functionalities to execute a rule program stepwise and also use rule breakpoints to stop the execution at those points.
Group: org.activecomponents.jadex Artifact: jadex-rules
Show all versions Show documentation Show source
Show all versions Show documentation Show source
0 downloads
Artifact jadex-rules
Group org.activecomponents.jadex
Version 3.0.117
Last update 10. May 2020
Organization not specified
URL https://www.activecomponents.org
License GPL-3.0
Dependencies amount 3
Dependencies jadex-commons, jadex-xml, antlr-runtime,
There are maybe transitive dependencies!
Group org.activecomponents.jadex
Version 3.0.117
Last update 10. May 2020
Organization not specified
URL https://www.activecomponents.org
License GPL-3.0
Dependencies amount 3
Dependencies jadex-commons, jadex-xml, antlr-runtime,
There are maybe transitive dependencies!
openimaj from group org.openimaj (version 1.3.10)
OpenIMAJ (Open Intelligent Multimedia in Java) is a collection of libraries and tools for multimedia analysis written in the Java programming language. OpenIMAJ intends to be the first truly complete multimedia analysis library and contains modules for analysing images, videos, text, audio and even webpages. The OpenIMAJ image and video analysis and feature extraction modules contain methods for processing visual content and extracting state-of-the-art features, including SIFT. The OpenIMAJ clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms including Hierarchical K-Means and Approximate K-Means. The clustering library makes it possible to easily create visual-bag-of-words representations for images and video with very large vocabularies. The text-analysis modules contain implementations of a statistical language classifier and low-level processing pipeline. A number of modules deal with content creation, including interactive slideshows and animations. The hardware integration modules allow cross-platform integration with devices including webcams, the Microsoft Kinect, and even devices such as GPS's. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using a distributed computing approach based on Apache Hadoop.
Group: org.openimaj Artifact: openimaj
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Artifact openimaj
Group org.openimaj
Version 1.3.10
Last update 09. February 2020
Organization The University of Southampton
URL http://www.openimaj.org
License New BSD
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group org.openimaj
Version 1.3.10
Last update 09. February 2020
Organization The University of Southampton
URL http://www.openimaj.org
License New BSD
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
git-commit-id-plugin from group at.molindo (version 2.1.10-alpha-1)
git-commit-id-plugin is a plugin quite similar to
https://fisheye.codehaus.org/browse/mojo/tags/buildnumber-maven-plugin-1.0-beta-4 for example but as buildnumber
only supports svn (which is very sad) and cvs (which is even more sad).
This plugin makes basic repository information available through maven resources. This can be used to display
"what version is this?" or "who has deployed this and when, from which branch?" information at runtime - making
it easy to find things like "oh, that isn't deployed yet, I'll test it tomorrow" and making both testers and
developers life easier.
The data currently exported is like this (that's the end effect from the GitRepositoryState Bean):
{
"branch" : "testing-maven-git-plugin",
"commitTime" : "06.01.1970 @ 16:16:26 CET",
"commitId" : "787e39f61f99110e74deed68ab9093088d64b969",
"commitUserName" : "Konrad Malawski",
"commitUserEmail" : "[email protected]",
"commitMessageFull" : "releasing my fun plugin :-) + fixed some typos + cleaned up directory structure + added
license etc",
"commitMessageShort" : "releasing my fun plugin :-)",
"buildTime" : "06.01.1970 @ 16:17:53 CET",
"buildUserName" : "Konrad Malawski",
"buildUserEmail" : "[email protected]"
}
Note that the data is exported via maven resource filtering and is really easy to use with spring -
which I've explained in detail in this readme https://github.com/ktoso/maven-git-commit-id-plugin
Artifact git-commit-id-plugin
Group at.molindo
Version 2.1.10-alpha-1
Last update 28. December 2015
Organization not specified
URL http://www.blog.project13.pl
License GNU Lesser General Public License 3.0
Dependencies amount 8
Dependencies maven-plugin-api, maven-project, jackson-databind, guice, joda-time, guava, annotations, org.eclipse.jgit,
There are maybe transitive dependencies!
Group at.molindo
Version 2.1.10-alpha-1
Last update 28. December 2015
Organization not specified
URL http://www.blog.project13.pl
License GNU Lesser General Public License 3.0
Dependencies amount 8
Dependencies maven-plugin-api, maven-project, jackson-databind, guice, joda-time, guava, annotations, org.eclipse.jgit,
There are maybe transitive dependencies!
jadex-rules from group net.sourceforge.jadex (version 2.4)
Jadex Rules is a small lightweight rule engine, which currently
employs the well-known Rete algorithm for highly efficient rule
matching. Jadex rules is therefore similar to other rule engines
like JESS and Drools. Despite the similarities there are also
important differences between these systems:
* Jadex Rules is very small and
intended to be used as component
of other software. Even though rules can be specified in a Java
dialect as well as (a small variation of) the CLIPS language
its primary usage is on the API level. Jadex Rules is currently
the core component of the Jadex BDI reasoning engine.
* Jadex Rules cleanly separates between state and rule representation.
This allows the state implementation as well as the matcher to be
flexibly exchanged. Some experiments have e.g. been conducted with
a Jena representation. Regarding the matcher, it is planned to
support also the Treat algorithm, which has a lower memory footprint
than Rete.
* Jadex Rules pays close attention to rule debugging. The state as
well as the rete engine can be observed at runtime. The rule debugger
provides functionalities to execute a rule program stepwise and also
use rule breakpoints to stop the execution at those points.
0 downloads
Artifact jadex-rules
Group net.sourceforge.jadex
Version 2.4
Last update 20. December 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies jadex-commons, jadex-xml, antlr-runtime,
There are maybe transitive dependencies!
Group net.sourceforge.jadex
Version 2.4
Last update 20. December 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies jadex-commons, jadex-xml, antlr-runtime,
There are maybe transitive dependencies!
mydas from group uk.ac.ebi.mydas (version 1.0.2)
This project aims to offer an easy-to-extend Java DAS server framework.
It offers several advantages:
* Implementing data sources is very easy but also flexible and powerful.
* Data caching is built into the system, with access to the caching
mechanism made available to the data sources.
* All aspects of the server are highly configurable, including
selecting options where the DAS 1.53 specification offers
choices to the implementor.
* The latest Java technologies have been used throughout the
system to optimise performance and simplify data source development.
* Wherever possible the same terminology is used in the API as in
the DAS specification and XML - again, making data source
development more easy.
* The server allows XSLT transforms of the DAS XML to be configured
to provide a simple DAS client view (limited to the single DAS
source).
More details of the DAS protocol, DAS servers and DAS clients can
be found at http://www.biodas.org/wiki/Main_Page.
The first version of this server is a complete implementation of
Distributed Sequence Annotation System (DAS) Version 1.53.
If you are interested in learning more about DAS 1.53, the
specification is highly recommended as a concise and complete
description of the DAS protocol that can be obtained from:
http://biodas.org/documents/spec.html
Artifact mydas
Group uk.ac.ebi.mydas
Version 1.0.2
Last update 19. August 2007
Organization not specified
URL http://code.google.com/p/mydas/
License The Apache Software License 2.0
Dependencies amount 7
Dependencies commons-collections, servlet-api, log4j, xpp3, xercesImpl, oscache, commons-logging,
There are maybe transitive dependencies!
Group uk.ac.ebi.mydas
Version 1.0.2
Last update 19. August 2007
Organization not specified
URL http://code.google.com/p/mydas/
License The Apache Software License 2.0
Dependencies amount 7
Dependencies commons-collections, servlet-api, log4j, xpp3, xercesImpl, oscache, commons-logging,
There are maybe transitive dependencies!
chips-n-salsa from group org.cicirello (version 7.0.0)
Chips-n-Salsa is a Java library of customizable,
hybridizable, iterative, parallel, stochastic, and self-adaptive
local search algorithms. The library includes implementations of
several stochastic local search algorithms, including simulated
annealing, hill climbers, as well as constructive search algorithms
such as stochastic sampling. Chips-n-Salsa now also includes genetic
algorithms as well as evolutionary algorithms more generally. The
library very extensively supports simulated annealing. It includes
several classes for representing solutions to a variety of optimization
problems. For example, the library includes a BitVector class that
implements vectors of bits, as well as classes for representing
solutions to problems where we are searching for an optimal vector
of integers or reals. For each of the built-in representations, the
library provides the most common mutation operators for generating
random neighbors of candidate solutions, as well as common crossover
operators for use with evolutionary algorithms. Additionally, the
library provides extensive support for permutation optimization
problems, including implementations of many different mutation
operators for permutations, and utilizing the efficiently implemented
Permutation class of the JavaPermutationTools (JPT) library.
Chips-n-Salsa is customizable, making extensive use of Java's generic
types, enabling using the library to optimize other types of representations
beyond what is provided in the library. It is hybridizable, providing
support for integrating multiple forms of local search (e.g., using a hill
climber on a solution generated by simulated annealing), creating hybrid
mutation operators (e.g., local search using multiple mutation operators),
as well as support for running more than one type of search for the same
problem concurrently using multiple threads as a form of algorithm portfolio.
Chips-n-Salsa is iterative, with support for multistart metaheuristics,
including implementations of several restart schedules for varying the run
lengths across the restarts. It also supports parallel execution of multiple
instances of the same, or different, stochastic local search algorithms for
an instance of a problem to accelerate the search process. The library
supports self-adaptive search in a variety of ways, such as including
implementations of adaptive annealing schedules for simulated annealing,
such as the Modified Lam schedule, implementations of the simpler annealing
schedules but which self-tune the initial temperature and other parameters,
and restart schedules that adapt to run length.
0 downloads
Artifact chips-n-salsa
Group org.cicirello
Version 7.0.0
Last update 01. August 2024
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
Group org.cicirello
Version 7.0.0
Last update 01. August 2024
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
minitest from group rubygems (version 5.4.1)
minitest provides a complete suite of testing facilities supporting
TDD, BDD, mocking, and benchmarking.
"I had a class with Jim Weirich on testing last week and we were
allowed to choose our testing frameworks. Kirk Haines and I were
paired up and we cracked open the code for a few test
frameworks...
I MUST say that minitest is *very* readable / understandable
compared to the 'other two' options we looked at. Nicely done and
thank you for helping us keep our mental sanity."
-- Wayne E. Seguin
minitest/unit is a small and incredibly fast unit testing framework.
It provides a rich set of assertions to make your tests clean and
readable.
minitest/spec is a functionally complete spec engine. It hooks onto
minitest/unit and seamlessly bridges test assertions over to spec
expectations.
minitest/benchmark is an awesome way to assert the performance of your
algorithms in a repeatable manner. Now you can assert that your newb
co-worker doesn't replace your linear algorithm with an exponential
one!
minitest/mock by Steven Baker, is a beautifully tiny mock (and stub)
object framework.
minitest/pride shows pride in testing and adds coloring to your test
output. I guess it is an example of how to write IO pipes too. :P
minitest/unit is meant to have a clean implementation for language
implementors that need a minimal set of methods to bootstrap a working
test suite. For example, there is no magic involved for test-case
discovery.
"Again, I can't praise enough the idea of a testing/specing
framework that I can actually read in full in one sitting!"
-- Piotr Szotkowski
Comparing to rspec:
rspec is a testing DSL. minitest is ruby.
-- Adam Hawkins, "Bow Before MiniTest"
minitest doesn't reinvent anything that ruby already provides, like:
classes, modules, inheritance, methods. This means you only have to
learn ruby to use minitest and all of your regular OO practices like
extract-method refactorings still apply.
Group: rubygems Artifact: minitest
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Artifact minitest
Group rubygems
Version 5.4.1
Last update 28. March 2015
Organization not specified
URL https://github.com/seattlerb/minitest
License MIT
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group rubygems
Version 5.4.1
Last update 28. March 2015
Organization not specified
URL https://github.com/seattlerb/minitest
License MIT
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
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