Download JAR files tagged by neural with all dependencies

colormatcher from group de.guerda.colormatcher (version 0.0.6)

This project helps to match colors to each other with the help of a simple neural network. Additionally you can use it to extract dominant colors from an image.

Group: de.guerda.colormatcher Artifact: colormatcher

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Artifact colormatcher
Group de.guerda.colormatcher
Version 0.0.6
Last update 14. August 2016
Organization not specified
URL https://guerda.de/colormatcher
License GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
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simplednn from group com.kotlinnlp (version 0.14.0)

SimpleDNN is a machine learning lightweight open-source library written in Kotlin whose purpose is to support the development of feed-forward and recurrent Artificial Neural Networks.

Group: com.kotlinnlp Artifact: simplednn
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Artifact simplednn
Group com.kotlinnlp
Version 0.14.0
Last update 15. June 2020
Organization not specified
URL http://github.com/kotlinnlp/simplednn
License Apache License, Version 2.0
Dependencies amount 11
Dependencies kotlin-stdlib, kotlin-reflect, slf4j-simple, jblas, jsoniter, jackson-databind, jackson-module-kotlin, jackson-dataformat-yaml, mockito-kotlin, guava, progressindicator,
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kaifu2x from group com.soywiz (version 0.4.0)

Port of waifu2x to pure kotlin. Anime-style upscaler and noise reductor based on convolutional neural networks using coffee trained models

Group: com.soywiz Artifact: kaifu2x
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2 downloads

Artifact kaifu2x
Group com.soywiz
Version 0.4.0
Last update 02. January 2018
Organization not specified
URL https://github.com/soywiz/kaifu2x/
License MIT License
Dependencies amount 5
Dependencies kotlin-stdlib-jdk8, korio, korim, jocl, kotlin-stdlib,
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onnxruntime-android-qnn from group com.microsoft.onnxruntime (version 1.20.0)

ONNX Runtime is a performance-focused inference engine for ONNX (Open Neural Network Exchange) models. This package contains the Android (aar) build of ONNX Runtime with the QNN Execution Provider.It includes support for all types and operators, for ONNX format models. All standard ONNX models can be executedwith this package.

Group: com.microsoft.onnxruntime Artifact: onnxruntime-android-qnn
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Artifact onnxruntime-android-qnn
Group com.microsoft.onnxruntime
Version 1.20.0
Last update 31. October 2024
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 1
Dependencies qnn-runtime,
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onnxruntime-android from group com.microsoft.onnxruntime (version 1.20.0)

ONNX Runtime is a performance-focused inference engine for ONNX (Open Neural Network Exchange) models. This package contains the Android (aar) build of ONNX Runtime. It includes support for all types and operators, for ONNX format models. All standard ONNX models can be executed with this package.

Group: com.microsoft.onnxruntime Artifact: onnxruntime-android
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Artifact onnxruntime-android
Group com.microsoft.onnxruntime
Version 1.20.0
Last update 31. October 2024
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
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cleartk-ml-script from group org.cleartk (version 3.0.0)

This module provides connectors for building classifiers with arbitrary scripts. This was originally intended to be a connector to neural network libraries but is quite general. The way to use these connetors is to simply provide a path to a directory containing a train.* and classify.* script that will be called at the appropriate times.

Group: org.cleartk Artifact: cleartk-ml-script
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Artifact cleartk-ml-script
Group org.cleartk
Version 3.0.0
Last update 09. February 2023
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies guava, uimaj-core, uimafit-core, cleartk-ml,
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java-ai-minefield-navigator from group com.github.cschen1205 (version 1.0.2)

TD-FALCON is a fusion architecture that incorporates temporal difference methods and self-organizing neural networks for reinforcement learning with delayed rewards. It learns by creating cognitive codes across sensory input, actions, and rewards.

Group: com.github.cschen1205 Artifact: java-ai-minefield-navigator
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Artifact java-ai-minefield-navigator
Group com.github.cschen1205
Version 1.0.2
Last update 18. June 2017
Organization not specified
URL https://github.com/cschen1205/java-ai-minefield-navigator
License MIT
Dependencies amount 5
Dependencies slf4j-api, slf4j-log4j12, java-ann-falcon, fastjson, commons-cli,
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fannj from group com.github.jjYBdx4IL.nn.fannj (version 0.7.2)

Provides Java bindings to the Fast Artificial Neural Network Library (FANN). This is a release of the upstream project https://github.com/krenfro/fannj including native libs for x86-64 windows and linux

Group: com.github.jjYBdx4IL.nn.fannj Artifact: fannj
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1 downloads

Artifact fannj
Group com.github.jjYBdx4IL.nn.fannj
Version 0.7.2
Last update 10. June 2016
Organization not specified
URL https://github.com/jjYBdx4IL/fannj
License GNU LGPL v3
Dependencies amount 1
Dependencies jna,
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javaanpr from group net.sf.javaanpr (version 1.2.7)

JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks. It was created by Ondrej Martinsky in 2006 and 2007 as part of the research plan "Security-oriented research in information technology, MSM 0021630528" at Brno University of Technology.

Group: net.sf.javaanpr Artifact: javaanpr
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17 downloads

Artifact javaanpr
Group net.sf.javaanpr
Version 1.2.7
Last update 28. January 2014
Organization not specified
URL https://www.ohloh.net/p/javaanpr
License Educational Community License, Version 2.0
Dependencies amount 1
Dependencies swing-layout,
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onnxruntime-mobile from group com.microsoft.onnxruntime (version 1.18.0)

The ONNX Runtime Mobile package is a size optimized inference library for executing ONNX (Open Neural Network Exchange) models on Android. This package is built from the open source inference engine but with reduced disk footprint targeting mobile platforms. To minimize binary size this library supports a reduced set of operators and types aligned to typical mobile applications. The ONNX model must be converted to ORT format in order to use it with this package. See https://onnxruntime.ai/docs/reference/ort-format-models.html for more details.

Group: com.microsoft.onnxruntime Artifact: onnxruntime-mobile
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Artifact onnxruntime-mobile
Group com.microsoft.onnxruntime
Version 1.18.0
Last update 20. May 2024
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
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