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Showing Items 1-10 of 669 on page 1 of 67: 1 2 3 4 5 6 Next Last

Logo Barista 0.2

by klemms - February 21, 2018, 15:51:11 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 153 views, 26 downloads, 1 subscription

About: a Graphical Tool for Designing and Training Deep Neural Networks

Changes:

Initial Announcement on mloss.org.


Logo Armadillo library 8.400

by cu24gjf - February 20, 2018, 03:26:16 CET [ Project Homepage BibTeX Download ] 129682 views, 24704 downloads, 5 subscriptions

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About: Armadillo is a high quality C++ linear algebra library, aiming towards a good balance between speed and ease of use. The function syntax is deliberately similar to MATLAB. Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products).

Changes:
  • faster handling of band matrices by solve() and chol()
  • faster incremental construction of sparse matrices via element access operators
  • faster diagonal views in sparse matrices
  • faster handling of sparse matrices by repmat()
  • faster loading of CSV files
  • faster gmm_diag class, for Gaussian mixture models with diagonal covariance matrices
  • speedups via expanded use of OpenMP by many element-wise functions
  • expanded kron() to handle sparse matrices
  • expanded index_min() and index_max() to handle cubes
  • expanded SpMat to save/load sparse matrices in coord format
  • expanded .save() to allow appending new datasets to existing HDF5 files
  • expanded .save()/.load() to allow specification of datasets within HDF5 files
  • expanded .each_slice() to optionally use OpenMP for multi-threaded execution
  • expanded clamp() to handle cubes
  • added submatrix & subcube iterators
  • added normpdf(), normcdf(), mvnrnd()
  • added chi2rnd(), wishrnd(), iwishrnd()
  • added gmm_full class, for Gaussian mixture models with full covariance matrices
  • added affmul() to simplify application of affine transformations
  • added intersect() for finding common elements in two vectors/matrices

Logo python weka wrapper3 0.1.4

by fracpete - February 18, 2018, 04:54:03 CET [ Project Homepage BibTeX Download ] 5238 views, 1162 downloads, 3 subscriptions

About: A thin Python3 wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • upgraded to Weka 3.9.2
  • properly initializing package support now, rather than adding package jars to classpath
  • added weka.core.ClassHelper Java class for obtaining classes and static fields, as javabridge only uses the system class loader

Logo python weka wrapper 0.3.12

by fracpete - February 18, 2018, 04:29:24 CET [ Project Homepage BibTeX Download ] 59032 views, 11939 downloads, 3 subscriptions

About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • upgraded to Weka 3.9.2
  • properly initializing package support now, rather than adding package jars to classpath
  • added weka.core.ClassHelper Java class for obtaining classes and static fields, as javabridge only uses the system class loader

Logo choix 0.3.1

by lum - February 12, 2018, 14:47:04 CET [ Project Homepage BibTeX Download ] 336 views, 94 downloads, 2 subscriptions

About: Inference algorithms for models based on Luce's choice axiom.

Changes:

Initial Announcement on mloss.org.


Logo BOLeRo 1.0.0

by afabisch - February 11, 2018, 19:44:41 CET [ Project Homepage BibTeX Download ] 1265 views, 431 downloads, 2 subscriptions

About: Behavior Optimization and Learning for Robots

Changes:

https://github.com/rock-learning/bolero/releases/tag/v1.0.0


Logo DataDeps.jl v0.2.2

by oxinabox - February 8, 2018, 03:54:26 CET [ Project Homepage BibTeX Download ] 408 views, 146 downloads, 2 subscriptions

About: DataDeps is a package for simplifying the management of data in your julia application. In particular it is designed to make getting static data from some server into the local machine, and making programs know where that data is trivial.

Changes:

Initial Announcement on mloss.org.


Logo Aika 0.14

by molzberger - February 4, 2018, 19:34:25 CET [ Project Homepage BibTeX Download ] 3940 views, 1138 downloads, 4 subscriptions

About: Aika is an open source text mining engine. It can automatically extract and annotate semantic information in text. In case this information is ambiguous, Aika will generate several hypothetical interpretations about the meaning of this text and retrieve the most likely one.

Changes:

Aika Version 0.14 (2018-02-04)
- Caching of partially computed states in the neural network during the interpretation search.
- Refactoring of the interpretation search. Iterative implementation of the interpretation search to prevent stack overflows. Much more detailed debugging output.
- Ongoing work on the training algorithms.

Aika Version 0.13 (2018-01-20)
- API cleanups: Input -> Synapse.Builder, Activation.Builder
- Optimization and simplification of the interpretation search.
- Refactoring of the range matching within synapses.
- Ongoing work on the training algorithms.


Logo KeLP 2.2.2

by kelpadmin - February 1, 2018, 00:57:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 22468 views, 4706 downloads, 3 subscriptions

About: Kernel-based Learning Platform (KeLP) is Java framework that supports the implementation of kernel-based learning algorithms, as well as an agile definition of kernel functions over generic data representation, e.g. vectorial data or discrete structures. The framework has been designed to decouple kernel functions and learning algorithms, through the definition of specific interfaces. Once a new kernel function has been implemented, it can be automatically adopted in all the available kernel-machine algorithms. KeLP includes different Online and Batch Learning algorithms for Classification, Regression and Clustering, as well as several Kernel functions, ranging from vector-based to structural kernels. It allows to build complex kernel machine based systems, leveraging on JSON/XML interfaces to instantiate prediction models without writing a single line of code.

Changes:

In addition to minor improvements and bug fixes, this release includes:

  • The possibility to generate the Compositional GRCT and the Compositional LCT data structures in kelp-input-generator.

  • New metrics for evaluating Classification Tasks.

  • New Tutorial and Unit Tests.

Check out this new version from our repositories. API Javadoc is already available. Your suggestions will be very precious for us, so download and try KeLP 2.2.2!


Logo r-cran-Boruta 5.2.0

by r-cran-robot - February 1, 2018, 00:00:05 CET [ Project Homepage BibTeX Download ] 32570 views, 6635 downloads, 2 subscriptions

About: Wrapper Algorithm for All Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2018-02-01 00:00:05.875782


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