Download JAR files tagged by differentiable with all dependencies
Workflow from group io.github.gustiks (version 0.2.1-alpha)
Artifact Workflow
Group io.github.gustiks
Version 0.2.1-alpha
Last update 22. February 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 5
Dependencies Logical, Pipelines, Neural, Neuralization, Parsing,
There are maybe transitive dependencies!
Group io.github.gustiks
Version 0.2.1-alpha
Last update 22. February 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 5
Dependencies Logical, Pipelines, Neural, Neuralization, Parsing,
There are maybe transitive dependencies!
Settings from group io.github.gustiks (version 0.2.1-alpha)
Artifact Settings
Group io.github.gustiks
Version 0.2.1-alpha
Last update 22. February 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 2
Dependencies gson, commons-cli,
There are maybe transitive dependencies!
Group io.github.gustiks
Version 0.2.1-alpha
Last update 22. February 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 2
Dependencies gson, commons-cli,
There are maybe transitive dependencies!
symbolic_2.12 from group com.thoughtworks.deeplearning (version 1.0.0)
Implicit conversion functions that convert from native types to differentiable layers and tapees.
Group: com.thoughtworks.deeplearning Artifact: symbolic_2.12
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Artifact symbolic_2.12
Group com.thoughtworks.deeplearning
Version 1.0.0
Last update 27. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.12, shapeless_2.12, scala-arm_2.12, simulacrum_2.12,
There are maybe transitive dependencies!
Group com.thoughtworks.deeplearning
Version 1.0.0
Last update 27. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.12, shapeless_2.12, scala-arm_2.12, simulacrum_2.12,
There are maybe transitive dependencies!
symbolic_2.11 from group com.thoughtworks.deeplearning (version 1.0.0)
Implicit conversion functions that convert from native types to differentiable layers and tapees.
Group: com.thoughtworks.deeplearning Artifact: symbolic_2.11
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Artifact symbolic_2.11
Group com.thoughtworks.deeplearning
Version 1.0.0
Last update 27. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.11, shapeless_2.11, scala-arm_2.11, simulacrum_2.11,
There are maybe transitive dependencies!
Group com.thoughtworks.deeplearning
Version 1.0.0
Last update 27. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.11, shapeless_2.11, scala-arm_2.11, simulacrum_2.11,
There are maybe transitive dependencies!
symbolic_2.10 from group com.thoughtworks.deeplearning (version 1.0.0)
Implicit conversion functions that convert from native types to differentiable layers and tapees.
Group: com.thoughtworks.deeplearning Artifact: symbolic_2.10
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Artifact symbolic_2.10
Group com.thoughtworks.deeplearning
Version 1.0.0
Last update 27. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.10, shapeless_2.10, scala-arm_2.10, simulacrum_2.10,
There are maybe transitive dependencies!
Group com.thoughtworks.deeplearning
Version 1.0.0
Last update 27. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.10, shapeless_2.10, scala-arm_2.10, simulacrum_2.10,
There are maybe transitive dependencies!
lift_2.10 from group com.thoughtworks.deeplearning (version 1.0.0-RC6)
Implicit conversion functions that convert from native types to differentiable layers and batches.
Group: com.thoughtworks.deeplearning Artifact: lift_2.10
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Artifact lift_2.10
Group com.thoughtworks.deeplearning
Version 1.0.0-RC6
Last update 09. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.10, shapeless_2.10, scala-arm_2.10, simulacrum_2.10,
There are maybe transitive dependencies!
Group com.thoughtworks.deeplearning
Version 1.0.0-RC6
Last update 09. March 2017
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 5
Dependencies scala-library, layer_2.10, shapeless_2.10, scala-arm_2.10, simulacrum_2.10,
There are maybe transitive dependencies!
conversion_2.11 from group com.thoughtworks.deeplearning (version 1.0.0-M4)
Implicit conversion functions that convert from native types to differentiable layers and batches.
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Artifact conversion_2.11
Group com.thoughtworks.deeplearning
Version 1.0.0-M4
Last update 20. December 2016
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 4
Dependencies scala-library, layer_2.11, shapeless_2.11, scala-arm_2.11,
There are maybe transitive dependencies!
Group com.thoughtworks.deeplearning
Version 1.0.0-M4
Last update 20. December 2016
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 4
Dependencies scala-library, layer_2.11, shapeless_2.11, scala-arm_2.11,
There are maybe transitive dependencies!
conversion_2.10 from group com.thoughtworks.deeplearning (version 1.0.0-M4)
Implicit conversion functions that convert from native types to differentiable layers and batches.
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Artifact conversion_2.10
Group com.thoughtworks.deeplearning
Version 1.0.0-M4
Last update 20. December 2016
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 4
Dependencies scala-library, layer_2.10, shapeless_2.10, scala-arm_2.10,
There are maybe transitive dependencies!
Group com.thoughtworks.deeplearning
Version 1.0.0-M4
Last update 20. December 2016
Organization com.thoughtworks.deeplearning
URL https://github.com/ThoughtWorksInc/DeepLearning.scala
License Apache
Dependencies amount 4
Dependencies scala-library, layer_2.10, shapeless_2.10, scala-arm_2.10,
There are maybe transitive dependencies!
LBFGS from group com.github.thssmonkey (version 1.0.4)
Limited-memory BFGS (L-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm using a limited amount of computer memory. It is a popular algorithm for parameter estimation in machine learning. The algorithm's target problem is to minimize f(x) over unconstrained values of the real-vector x where f is a differentiable scalar function.
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Artifact LBFGS
Group com.github.thssmonkey
Version 1.0.4
Last update 16. May 2019
Organization not specified
URL https://github.com/thssmonkey/LBFGS
License The Apache Software License, Version 2.0
Dependencies amount 4
Dependencies flink-scala_${scala.binary.version}, flink-streaming-scala_${scala.binary.version}, flink-clients_${scala.binary.version}, flink-ml_${scala.binary.version},
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Group com.github.thssmonkey
Version 1.0.4
Last update 16. May 2019
Organization not specified
URL https://github.com/thssmonkey/LBFGS
License The Apache Software License, Version 2.0
Dependencies amount 4
Dependencies flink-scala_${scala.binary.version}, flink-streaming-scala_${scala.binary.version}, flink-clients_${scala.binary.version}, flink-ml_${scala.binary.version},
There are maybe transitive dependencies!
algorithms from group de.cit-ec.tcs.alignment (version 3.1.1)
This module defines the interface for AlignmentAlgorithms as well as some helper classes. An
AlignmentAlgorithm computes an Alignment of two given input sequences, given a Comparator that
works in these sequences.
More details on the AlignmentAlgorithm can be found in the respective interface. More information
on Comparators can be found in the comparators module.
The resulting 'Alignment' may be just a real-valued dissimilarity between the input sequence or
may incorporate additional information, such as a full Alignment, a PathList, a PathMap or a
CooptimalModel. If those results support the calculation of a Gradient, they implement the
DerivableAlignmentDistance interface.
In more detail, the Alignment class represents the result of a backtracing scheme, listing all
Operations that have been applied in one co-optimal Alignment.
A classic AlignmentAlgorithm does not result in a differentiable dissimilarity, because the
minimum function is not differentiable. Therefore, this package also contains utility functions
for a soft approximation of the minimum function, namely Softmin.
For faster (parallel) computation of many different alignments or gradients we also provide the
ParallelProcessingEngine, the SquareParallelProcessingEngine and the ParallelGradientEngine.
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Artifact algorithms
Group de.cit-ec.tcs.alignment
Version 3.1.1
Last update 26. October 2018
Organization not specified
URL http://openresearch.cit-ec.de/projects/tcs
License The GNU Affero General Public License, Version 3
Dependencies amount 3
Dependencies comparators, parallel, lombok,
There are maybe transitive dependencies!
Group de.cit-ec.tcs.alignment
Version 3.1.1
Last update 26. October 2018
Organization not specified
URL http://openresearch.cit-ec.de/projects/tcs
License The GNU Affero General Public License, Version 3
Dependencies amount 3
Dependencies comparators, parallel, lombok,
There are maybe transitive dependencies!
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