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About: A recommender systems research framework aimed at modeling non-stationary environments. Changes:Initial Announcement on mloss.org.
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About: A fast, flexible C++ machine learning library, with bindings to other languages. Changes:Released June 8th, 2018.
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About: A header-only C++ library for solving large scale eigenvalue problems Changes:
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About: This project is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. Changes:This release adds a bunch of new image processing routines as well as many minor usability improvements and bug fixes.
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About: In DMNS source, five databases are used in slover.cpp and data_veh_layer.cpp, these images and databases are included in this file, except munich database. Changes:Initial Announcement on mloss.org.
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About: Deep measuring net sequence(DMNS) is a sequence of three deep measuring nets, the later are deep fcn-based networks, directely output object category score, object orientation, location and scale simultaneously without any anchor boxes. DMNS acheived high accuracy in maneuvering target detection and geometrical measurements. Its average orientation error is less than 3.5 degree, loaction error less than 1.3 pixel, scale measuring error less than 10%, achieve a detection F1-score 96.5% in OAD, 91.8% in SVDS ,90.8% in Munich , 87.3% in OIRDS, outperforms SSD, Fater R-CNN, etc. Changes:Initial Announcement on mloss.org.
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About: Armadillo is a high quality C++ library for linear algebra & scientific computing, 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:
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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, Julia, R, and MATLAB are supported. Changes:
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About: Behavior Optimization and Learning for Robots Changes:https://github.com/rock-learning/bolero/releases/tag/v1.0.0
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About: Armadillo/C++ implementation of the Indefinite Core Vector Machine Changes:Some tiny errors in the Nystroem demo scripts - should be ok now Initial Announcement on mloss.org.
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About: An open-source framework for benchmarking of feature selection algorithms and cost functions. Changes:Initial Announcement on mloss.org.
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About: Kernel-Based Analysis of Biological Sequences Changes:
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About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplar-based agglomerative clustering, and various tools for visual analysis of clustering results. Changes:
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About: OpenNN is a software library written in C++ for advanced analytics. It implements neural networks, the most successful machine learning method. The library has been designed to learn from both data sets and mathematical models. Changes:New algorithms, correction of bugs.
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About: A mutual information library for C and Mex bindings for MATLAB. Aimed at feature selection, and provides simple methods to calculate mutual information, conditional mutual information, entropy, conditional entropy, Renyi entropy/mutual information, and weighted variants of Shannon entropies/mutual informations. Works with discrete distributions, and expects column vectors of features. Changes:Fixed a Windows compilation bug. MIToolbox v3 should now compile using Visual Studio.
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About: The new R package opusminer provides an R interface to the OPUS Miner algorithm (implemented in C++) for finding the key associations in transaction data efficiently, in the form of self-sufficient itemsets, using either leverage or lift. Changes:Initial Announcement on mloss.org.
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About: NaN-toolbox is a statistics and machine learning toolbox for handling data with and without missing values. Changes:Changes in v.3.1.2 - improve configuration and build system - support of more platforms (including Octave 4.2.0) improved Changes in v.3.0.3 - improve compatibility for Octave on Windows Changes in v.3.0.1 - fix packaging for octave Changes in v.2.8.5 - bug fix: trimmean - compiler support for gcc-5 and clang - fix typos For details see the CHANGELOG at http://pub.ist.ac.at/~schloegl/matlab/NaN/CHANGELOG
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About: MA-sLDAr is a C++ implementation of the supervised topic models with response variables provided by multiple annotators with different levels of expertise. Changes:Initial Announcement on mloss.org.
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About: MA-sLDAc is a C++ implementation of the supervised topic models with labels provided by multiple annotators with different levels of expertise. Changes:Initial Announcement on mloss.org.
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