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dbvolution from group nz.co.gregs (version 1.0.5)
Advanced Library to Remove Object Relational Impedance.
DBvolution translates all database concepts into Object Oriented concepts, allowing you to spend all your time writing Java rather than fixing broken and awkward SQL.
DBvolution transforms your schema into classes, reduces the database configuration to sparse annotations on the classes, and allows querying directly from the classes.
Queries are created inside your java code and takes as little as one line for a multi-table outer join. Retrieving the rows from the query is only one more method call. Dozens of SQL functions are available without leaving your Java code and use chaining to build complex expressions easily.
Transactions are encapsulated into a thread-like API, allowing you to write complex database interactions in complete safety.
The actions performed by DBvolution are always available for debugging and checking by DBAs before release.
There are examples in nz.co.gregs.dbvolution.examples, and documentation at http://dbvolution.gregs.co.nz and http://sourceforge.net/p/dbvolution/blog/
Artifact dbvolution
Group nz.co.gregs
Version 1.0.5
Last update 18. August 2018
Organization not specified
URL http://dbvolution.gregs.co.nz
License Non-commercial License
Dependencies amount 16
Dependencies mysql-connector-java, h2, mysql-connector-mxj, postgresql, reflections, commons-logging, dbvolution-eclipse, jung-visualization, jung-graph-impl, sqlite-jdbc, commons-codec, nuodb-jdbc, derby, derbyclient, jts, joda-time,
There are maybe transitive dependencies!
Group nz.co.gregs
Version 1.0.5
Last update 18. August 2018
Organization not specified
URL http://dbvolution.gregs.co.nz
License Non-commercial License
Dependencies amount 16
Dependencies mysql-connector-java, h2, mysql-connector-mxj, postgresql, reflections, commons-logging, dbvolution-eclipse, jung-visualization, jung-graph-impl, sqlite-jdbc, commons-codec, nuodb-jdbc, derby, derbyclient, jts, joda-time,
There are maybe transitive dependencies!
statistics from group de.xypron.statistics (version 1.0.9)
Xypron Statistics is a Java library which was developped with supply
chain simulation in mind. The normal, the exponential and the gamma
distribution have been included. Methods to calculate fill rate and
order rate service levels as well as safety factors are provided.
The Mersenne Twister algorithm is used to provide high quality random
number generation.
Some functions for the gamma distribution where adopted from
http://www.ssfnet.org/download/ssfnet_raceway-2.0.tar.gz.
For these the following applies:
Copyright 1999 CERN - European Organization for Nuclear Research.
Permission to use, copy, modify, distribute and sell this software and
its documentation for any purpose is hereby granted without fee,
provided that the above copyright notice appear in all copies and
that both that copyright notice and this permission notice appear in
supporting documentation. CERN makes no representations about the
suitability of this software for any purpose. It is provided "as is"
without expressed or implied warranty.
0 downloads
Artifact statistics
Group de.xypron.statistics
Version 1.0.9
Last update 22. February 2014
Organization not specified
URL http://www.xypron.de/projects/statistics/
License Apache 2
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.xypron.statistics
Version 1.0.9
Last update 22. February 2014
Organization not specified
URL http://www.xypron.de/projects/statistics/
License Apache 2
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
sirix-core from group com.github.johanneslichtenberger.sirix (version 0.1.0)
Sirix is a versioned, treebased storage system. It provides
an ID-less diff-algorithm to import differences between two versions. Furthermore
an ID-based diff-algorithm facilitates the comparison of versions stored within
Sirix. A GUI with several visualizations for comparing these versions visually is
available to aid an analyst. Versions are stored using well known versioning strategies (full, incremental, differential).
The architecture is especially well suited for flash-disks because of a COW-principle. In the future we aim to provide throughout security as
well as a replaced page-structure to speedup our architecture. A brackit(.org) binding will
enable XQuery and the XQuery Update Facility. Temporal XPath axis and possibly diff-functions will help analysts to gain quick knowledge from the stored data.
0 downloads
Artifact sirix-core
Group com.github.johanneslichtenberger.sirix
Version 0.1.0
Last update 27. September 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies snappy-java,
There are maybe transitive dependencies!
Group com.github.johanneslichtenberger.sirix
Version 0.1.0
Last update 27. September 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies snappy-java,
There are maybe transitive dependencies!
sirix-parent from group com.github.johanneslichtenberger.sirix (version 0.1.1)
Sirix is a versioned, treebased storage system. It provides
an ID-less diff-algorithm to import differences between two versions (currently XML-documents). Furthermore
an ID-based diff-algorithm facilitates the comparison of versions stored within
Sirix. A GUI with several visualizations for comparing these versions visually is
available to aid an analyst. Versions are stored using well known versioning strategies (full, incremental, differential).
The architecture is especially well suited for flash-disks because of a COW-principle. In the future we aim to provide throughout security as
well as a replaced page-structure to speedup our architecture. A brackit(.org) binding will
enable XQuery and the XQuery Update Facility. Temporal XPath axis and possibly diff-functions will help analysts to gain quick knowledge from the stored data.
Group: com.github.johanneslichtenberger.sirix Artifact: sirix-parent
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Artifact sirix-parent
Group com.github.johanneslichtenberger.sirix
Version 0.1.1
Last update 27. September 2012
Organization not specified
URL https://github.com/JohannesLichtenberger/sirix
License New BSD
Dependencies amount 9
Dependencies je, aspectjrt, slf4j-api, perfidix, xmlunit, logback-classic, guice, gson, guava,
There are maybe transitive dependencies!
Group com.github.johanneslichtenberger.sirix
Version 0.1.1
Last update 27. September 2012
Organization not specified
URL https://github.com/JohannesLichtenberger/sirix
License New BSD
Dependencies amount 9
Dependencies je, aspectjrt, slf4j-api, perfidix, xmlunit, logback-classic, guice, gson, guava,
There are maybe transitive dependencies!
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.
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
There are maybe transitive dependencies!
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
There are maybe transitive dependencies!
multiLayerPerceptrons from group nz.ac.waikato.cms.weka (version 1.0.10)
This package currently contains classes for training multilayer perceptrons with one hidden layer, where the number of hidden units is user specified. MLPClassifier can be used for classification problems and MLPRegressor is the corresponding class for numeric prediction tasks. The former has as many output units as there are classes, the latter only one output unit. Both minimise a penalised squared error with a quadratic penalty on the (non-bias) weights, i.e., they implement "weight decay", where this penalised error is averaged over all training instances. The size of the penalty can be determined by the user by modifying the "ridge" parameter to control overfitting. The sum of squared weights is multiplied by this parameter before added to the squared error. Both classes use BFGS optimisation by default to find parameters that correspond to a local minimum of the error function. but optionally conjugated gradient descent is available, which can be faster for problems with many parameters. Logistic functions are used as the activation functions for all units apart from the output unit in MLPRegressor, which employs the identity function. Input attributes are standardised to zero mean and unit variance. MLPRegressor also rescales the target attribute (i.e., "class") using standardisation. All network parameters are initialised with small normally distributed random values.
Group: nz.ac.waikato.cms.weka Artifact: multiLayerPerceptrons
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Artifact multiLayerPerceptrons
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 31. October 2016
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/multiLayerPerceptrons
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 31. October 2016
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/multiLayerPerceptrons
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
zoomvideosdk-videoeffects from group us.zoom.videosdk (version 1.11.2)
Group: us.zoom.videosdk Artifact: zoomvideosdk-videoeffects
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zoomvideosdk-annotation from group us.zoom.videosdk (version 1.11.2)
The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data.
Video SDKs are designed to be:
* Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you.
* Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions.
* Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience.
Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio.
Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video.
As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities.
The Video SDKs enable the following functionality in your app:
* Launch a video communication session instantly
* Share screen directly from your device
* Send instant chat messages during the session
* Capture and review raw data locally
* Test different rendering schema and enjoy high-quality video and audio streams
* Broadcast the video session to third-party live streaming providers
To know more, see: https://developers.zoom.us/docs/video-sdk/
Group: us.zoom.videosdk Artifact: zoomvideosdk-annotation
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Artifact zoomvideosdk-annotation
Group us.zoom.videosdk
Version 1.11.2
Last update 23. April 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 1
Dependencies constraintlayout,
There are maybe transitive dependencies!
Group us.zoom.videosdk
Version 1.11.2
Last update 23. April 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 1
Dependencies constraintlayout,
There are maybe transitive dependencies!
zoomvideosdk-core from group us.zoom.videosdk (version 1.11.2)
The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data.
Video SDKs are designed to be:
* Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you.
* Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions.
* Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience.
Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio.
Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video.
As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities.
The Video SDKs enable the following functionality in your app:
* Launch a video communication session instantly
* Share screen directly from your device
* Send instant chat messages during the session
* Capture and review raw data locally
* Test different rendering schema and enjoy high-quality video and audio streams
* Broadcast the video session to third-party live streaming providers
To know more, see: https://developers.zoom.us/docs/video-sdk/
Group: us.zoom.videosdk Artifact: zoomvideosdk-core
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Artifact zoomvideosdk-core
Group us.zoom.videosdk
Version 1.11.2
Last update 23. April 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 3
Dependencies security-crypto, tink-android, appcompat,
There are maybe transitive dependencies!
Group us.zoom.videosdk
Version 1.11.2
Last update 23. April 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 3
Dependencies security-crypto, tink-android, appcompat,
There are maybe transitive dependencies!
ZoomVideoSDK from group us.zoom.videosdk (version 1.9.0)
We have deprecated ZoomVideoSDK maven repository. Since Video SDK features have been modularized, we are deprecating this repository and publishing new releases into the following repositories. See the feature libraries documentation for details.
ZoomVideoSDK Core — core Video SDK features: https://mvnrepository.com/artifact/us.zoom.videosdk/zoomvideosdk-core
ZoomVideoSDK Annotation — Screen share annotation feature: https://mvnrepository.com/artifact/us.zoom.videosdk/zoomvideosdk-annotation
ZoomVideoSDK Videoeffects — Virtual background feature: https://mvnrepository.com/artifact/us.zoom.videosdk/zoomvideosdk-videoeffects
The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data.
Video SDKs are designed to be:
* Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you.
* Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions.
* Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience.
Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio.
Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video.
As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities.
The Video SDKs enable the following functionality in your app:
* Launch a video communication session instantly
* Share screen directly from your device
* Send instant chat messages during the session
* Capture and review raw data locally
* Test different rendering schema and enjoy high-quality video and audio streams
* Broadcast the video session to third-party live streaming providers
To know more, see: https://developers.zoom.us/docs/video-sdk/
Group: us.zoom.videosdk Artifact: ZoomVideoSDK
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Artifact ZoomVideoSDK
Group us.zoom.videosdk
Version 1.9.0
Last update 20. September 2023
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 3
Dependencies security-crypto, tink-android, appcompat,
There are maybe transitive dependencies!
Group us.zoom.videosdk
Version 1.9.0
Last update 20. September 2023
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 3
Dependencies security-crypto, tink-android, appcompat,
There are maybe transitive dependencies!
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