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glsl-token-assignments from group org.webjars.npm (version 2.0.2)

WebJar for glsl-token-assignments

Group: org.webjars.npm Artifact: glsl-token-assignments
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Artifact glsl-token-assignments
Group org.webjars.npm
Version 2.0.2
Last update 21. February 2018
Organization not specified
URL http://webjars.org
License MIT
Dependencies amount 0
Dependencies No dependencies
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jagr-launcher from group org.sourcegrade (version 0.10.3)

An automated tool for grading programming assignments

Group: org.sourcegrade Artifact: jagr-launcher
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Artifact jagr-launcher
Group org.sourcegrade
Version 0.10.3
Last update 07. May 2024
Organization not specified
URL https://www.sourcegrade.org
License GNU AFFERO GENERAL PUBLIC LICENSE Version 3
Dependencies amount 3
Dependencies jagr-grader-api, kotlinx-coroutines-core-jvm, kotlin-stdlib,
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jagr-core from group org.sourcegrade (version 0.10.3)

An automated tool for grading programming assignments

Group: org.sourcegrade Artifact: jagr-core
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Artifact jagr-core
Group org.sourcegrade
Version 0.10.3
Last update 07. May 2024
Organization not specified
URL https://www.sourcegrade.org
License GNU AFFERO GENERAL PUBLIC LICENSE Version 3
Dependencies amount 2
Dependencies jagr-launcher, kotlin-stdlib,
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jagr-grader-api from group org.sourcegrade (version 0.10)

An automated tool for grading programming assignments

Group: org.sourcegrade Artifact: jagr-grader-api
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Artifact jagr-grader-api
Group org.sourcegrade
Version 0.10
Last update 08. October 2023
Organization not specified
URL https://www.sourcegrade.org
License GNU AFFERO GENERAL PUBLIC LICENSE Version 3
Dependencies amount 6
Dependencies asm, guice, log4j-api, junit-jupiter, junit-jupiter-engine, junit-platform-launcher,
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robolectricsecurity from group com.github.cs125-illinois (version 1.1.1)

Java SecurityManager for Robolectric-based assignments

Group: com.github.cs125-illinois Artifact: robolectricsecurity
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Artifact robolectricsecurity
Group com.github.cs125-illinois
Version 1.1.1
Last update 21. August 2019
Organization com.github.cs125-illinois
URL https://github.com/cs125-illinois/robolectricsecurity
License Apache License 2.0
Dependencies amount 0
Dependencies No dependencies
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doctor-fis from group io.github.andreacimminoarriaga (version 0.1.7)

Doctor FIS is a project to automatically correct Software Engineering assignments

Group: io.github.andreacimminoarriaga Artifact: doctor-fis
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Artifact doctor-fis
Group io.github.andreacimminoarriaga
Version 0.1.7
Last update 14. November 2023
Organization not specified
URL https://andreacimminoarriaga.github.io/doctor-fis/
License The Apache License, Version 2.0
Dependencies amount 5
Dependencies apache-jena-libs, gson, helio-builder-siot, httpclient5-fluent, javatuples,
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plugin-transform-logical-assignment-operators from group org.mvnpm.at.babel (version 7.22.11)

Transforms logical assignment operators into short-circuited assignments

Group: org.mvnpm.at.babel Artifact: plugin-transform-logical-assignment-operators
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Artifact plugin-transform-logical-assignment-operators
Group org.mvnpm.at.babel
Version 7.22.11
Last update 07. September 2023
Organization The Babel Team (https://babel.dev/team)
URL https://babel.dev/docs/en/next/babel-plugin-transform-logical-assignment-operators
License MIT
Dependencies amount 2
Dependencies helper-plugin-utils, plugin-syntax-logical-assignment-operators,
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rng from group de.cit-ec.ml (version 1.0.0)

This is an implementation of the Neural Gas algorithm on distance data (Relational Neural Gas) for unsupervised clustering. We recommend that you use the functions provided by the RelationalNeuralGas class for your purposes. All other classes and functions are utilities which are used by this central class. In particular, you can use RelationalNeuralGas.train() to obtain a RNGModel (i.e. a clustering of your data), and subsequently you can use RelationalNeuralGas.getAssignments() to obtain the resulting cluster assignments, and RelationalNeuralGas.classify() to cluster new points which are not part of the training data set. The underlying scientific work is summarized nicely in the dissertation "Topographic Mapping of Dissimilarity Datasets" by Alexander Hasenfuss (2009). The basic properties of an Relational Neural Gas algorithm are the following: 1.) It is relational: The data is represented only in terms of a pairwise distance matrix. 2.) It is a clustering method: The algorithm provides a clustering model, that is: After calculation, each data point should be assigned to a cluster (for this package here we only consider hard clustering, that is: each data point is assigned to exactly one cluster). 3.) It is a vector quantization method: Each cluster corresponds to a prototype, which is in the center of the cluster and data points are assigned to the cluster if and only if they are closest to this particular prototype. 4.) It is rank-based: The updates of the prototypes depend only on the distance ranking, not on the absolute value of the distances.

Group: de.cit-ec.ml Artifact: rng
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Artifact rng
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
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