20 projects found that use the gnu gpl v3 license.
Showing Items 1-20 of 32 on page 1 of 2: 1 2 Next

Logo ADAMS 0.4.11

by fracpete - November 18, 2015, 10:58:55 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 15257 views, 3074 downloads, 3 subscriptions

About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.


Some highlights of this release:

  • switch to Java 8
  • preferred IDE is now IntelliJ IDEA
  • removed OSX builds
  • 43 new actors
  • 13 new conversions
  • removed obsolete actors and conversions
  • added video support (video files and webcams)
  • added object detection and tracking (incl recording of object trails)
  • proof-of-concept remote-execution of jobs
  • SSH console
  • support for webscraping using JSoup
  • MEKA upgraded to 1.9.0
  • MOA regressor support added
  • better syntax highlighting for Groovy/Jython
  • several new Weka classifiers (eg Veto, LeanMultiScheme, ThresholdedBinaryClassification, InputSmearing)
  • new genetic algorithm: Hermione
  • extended the abstaining classifier framework (integrates with Weka)
  • adams-imaging split into: adams-imaging, adams-boofcv, adams-imagemagick, adams-imagej, adams-openimaj (newly added)

Logo Somoclu 1.5

by peterwittek - September 30, 2015, 13:27:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10054 views, 1979 downloads, 3 subscriptions

About: Somoclu is a massively parallel implementation of self-organizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. Apart from a command line interface, Python, R, and MATLAB are supported.

  • New: Python interface has visual capabilities.
  • New: Option for hexagonal grid.
  • New: Option for requesting compact support in updating the map.
  • New: Python, R, and MATLAB interfaces now allow passing an initial codebook.
  • Changed: Reduced memory use in calculating U-matrices.
  • Changed: Build system rebuilt and simplified.

Logo SALSA.jl 0.0.5

by jumutc - September 28, 2015, 17:28:56 CET [ Project Homepage BibTeX Download ] 525 views, 82 downloads, 1 subscription

About: SALSA (Software lab for Advanced machine Learning with Stochastic Algorithms) is an implementation of the well-known stochastic algorithms for Machine Learning developed in the high-level technical computing language Julia. The SALSA software package is designed to address challenges in sparse linear modelling, linear and non-linear Support Vector Machines applied to large data samples with user-centric and user-friendly emphasis.


Initial Announcement on mloss.org.

Logo python weka wrapper 0.3.3

by fracpete - September 26, 2015, 06:11:42 CET [ Project Homepage BibTeX Download ] 19124 views, 4102 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.

  • updated to Weka 3.7.13
  • documentation now covers the API as well

Logo KEEL Knowledge Extraction based on Evolutionary Learning 3.0

by keel - September 18, 2015, 12:38:54 CET [ Project Homepage BibTeX Download ] 603 views, 181 downloads, 1 subscription

About: KEEL (Knowledge Extraction based on Evolutionary Learning) is an open source (GPLv3) Java software tool that can be used for a large number of different knowledge data discovery tasks. KEEL provides a simple GUI based on data flow to design experiments with different datasets and computational intelligence algorithms (paying special attention to evolutionary algorithms) in order to assess the behavior of the algorithms. It contains a wide variety of classical knowledge extraction algorithms, preprocessing techniques (training set selection, feature selection, discretization, imputation methods for missing values, among others), computational intelligence based learning algorithms, hybrid models, statistical methodologies for contrasting experiments and so forth. It allows to perform a complete analysis of new computational intelligence proposals in comparison to existing ones. Moreover, KEEL has been designed with a two-fold goal: research and educational. KEEL is also coupled with KEEL-dataset: a webpage that aims at providing to the machine learning researchers a set of benchmarks to analyze the behavior of the learning methods. Concretely, it is possible to find benchmarks already formatted in KEEL format for classification (such as standard, multi instance or imbalanced data), semi-supervised classification, regression, time series and unsupervised learning. Also, a set of low quality data benchmarks is maintained in the repository.


Initial Announcement on mloss.org.

Logo Presage 0.9.1

by Dzmitry_Lahoda - August 18, 2015, 10:13:05 CET [ BibTeX Download ] 507 views, 153 downloads, 3 subscriptions

About: Presage is an intelligent predictive text entry platform.


Initial Announcement on mloss.org.

Logo Sparse Compositional Metric Learning v1.1

by bellet - August 16, 2015, 16:41:20 CET [ BibTeX BibTeX for corresponding Paper Download ] 2482 views, 889 downloads, 2 subscriptions

About: Scalable learning of global, multi-task and local metrics from data


Various minor bug fixes and improvements. The basis and triplet generation now fully supports with datasets with very small classes and arbitrary labels (no need to be consecutive or positive). The computational and memory efficiency of the code when data is high dimensional has been largely improved, and we generate a rectangular (smaller) projection matrix when the number of selected basis is smaller than the dimension. K-NN classification with local metrics has been optimized and made significantly less costly in both time and memory.

Logo OpenNN 2.2

by Sergiointelnics - August 10, 2015, 16:56:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3853 views, 689 downloads, 3 subscriptions

About: OpenNN is an open source class library written in C++ programming language which implements neural networks, a main area of deep learning research. The library has been designed to learn from both data sets and mathematical models.


New algorithms, correction of bugs.

Logo Multiagent Decision Process Toolbox 0.3.1

by faoliehoek - June 4, 2015, 15:58:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1217 views, 354 downloads, 3 subscriptions

About: The Multiagent decision process (MADP) Toolbox is a free C++ software toolbox for scientific research in decision-theoretic planning and learning in multiagent systems.


Initial Announcement on mloss.org.

Logo MIPS, The migrant implementation system 1.0

by thomasfannes - April 28, 2015, 15:07:05 CET [ Project Homepage BibTeX Download ] 1146 views, 348 downloads, 3 subscriptions

About: MIPS is a software library for state-of-the-art graph mining algorithms. The library is platform independent, written in C++(03), and aims at implementing generic and efficient graph mining algorithms.


description update

Logo Hub Miner 1.1

by nenadtomasev - January 22, 2015, 16:33:51 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2550 views, 528 downloads, 2 subscriptions

About: Hubness-aware Machine Learning for High-dimensional Data

  • BibTex support for all algorithm implementations, making all of them easy to reference (via algref package).

  • Two more hubness-aware approaches (meta-metric-learning and feature construction)

  • An implementation of Hit-Miss networks for analysis.

  • Several minor bug fixes.

  • The following instance selection methods were added: HMScore, Carving, Iterative Case Filtering, ENRBF.

  • The following clustering quality indexes were added: Folkes-Mallows, Calinski-Harabasz, PBM, G+, Tau, Point-Biserial, Hubert's statistic, McClain-Rao, C-root-k.

  • Some more experimental scripts have been included.

  • Extensions in the estimation of hubness risk.

  • Alias and weighted reservoir methods for weight-proportional random selection.

Logo JMLR RL library 3.00.00

by frezza - January 13, 2015, 04:15:16 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1997 views, 536 downloads, 2 subscriptions

About: A template based C++ reinforcement learning library


Initial Announcement on mloss.org.

Logo gaml 1.10

by frezza - January 8, 2015, 14:06:58 CET [ Project Homepage BibTeX Download ] 1166 views, 327 downloads, 2 subscriptions

About: C++ generic programming tools for machine learning


Initial Announcement on mloss.org.

Logo LogRegCrowds, Logistic Regression from Crowds 1.0

by fmpr - October 30, 2014, 19:10:23 CET [ Project Homepage BibTeX Download ] 1239 views, 369 downloads, 2 subscriptions

About: LogReg-Crowds is a collection of Julia implementations of various approaches for learning a logistic regression model multiple annotators and crowds, namely the works of Raykar et al. (2010), Rodrigues et al. (2013) and Dawid and Skene (1979).


Initial Announcement on mloss.org.

Logo BayesOpt, a Bayesian Optimization toolbox 0.7.2

by rmcantin - October 10, 2014, 19:12:59 CET [ Project Homepage BibTeX Download ] 16585 views, 3251 downloads, 4 subscriptions

About: BayesOpt is an efficient, C++ implementation of the Bayesian optimization methodology for nonlinear-optimization, experimental design and stochastic bandits. In the literature it is also called Sequential Kriging Optimization (SKO) or Efficient Global Optimization (EGO). There are also interfaces for C, Matlab/Octave and Python.


-Fixed bugs and doc typos

Logo ARTOS Adaptive Realtime Object Detection System 1.0

by erik - July 11, 2014, 22:02:34 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2133 views, 470 downloads, 2 subscriptions

About: ARTOS can be used to quickly learn models for visual object detection without having to collect a set of samples manually. To make this possible, it uses ImageNet, a large image database with more than 20,000 categories.


Initial Announcement on mloss.org.

Logo A Pattern Recognizer In Lua with ANNs v0.3.1

by pakozm - May 30, 2014, 10:49:10 CET [ Project Homepage BibTeX Download ] 5057 views, 1225 downloads, 2 subscriptions

About: APRIL-ANN toolkit (A Pattern Recognizer In Lua with Artificial Neural Networks). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-encoders, convolutional neural networks), with other pattern recognition methods as hidden makov models (HMMs) among others.

  • Removed bugs.
  • Added Travis CI support.
  • KNN and clustering algorithms.
  • ZCA and PCA whitening.
  • Quickprop and ASGD optimization algorithms.
  • QLearning trainer.
  • Sparse float matrices are available in CSC an CSR formats.
  • Compilation with Homebrew and MacPorts available.
  • Compilation issues in Ubuntu 12.04 solved.

Logo Chordalysis 1.0

by fpetitjean - March 24, 2014, 01:22:06 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2037 views, 477 downloads, 1 subscription

About: Log-linear analysis for high-dimensional data


Initial Announcement on mloss.org.

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data.


o citation update

o plot function improved

Logo ISSE 0.2.0

by njb - October 15, 2013, 03:03:56 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4085 views, 762 downloads, 1 subscription

About: An audio editing tool for single-channel source separation.


Stereo processing, bug fixes, UI updates.

Showing Items 1-20 of 32 on page 1 of 2: 1 2 Next