About: Wrapper Algorithm for All Relevant Feature Selection Changes:Fetched by rcranrobot on 20180901 00:00:04.516878

About: Bayesian Additive Regression Trees Changes:Fetched by rcranrobot on 20180901 00:00:03.597464

About: Gradient Boosting Changes:Fetched by rcranrobot on 20180901 00:00:05.199020

About: A fast, flexible C++ machine learning library, with bindings to other languages. Changes:Released June 8th, 2018.

About: A headeronly C++ library for solving large scale eigenvalue problems Changes:

About: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multidimensional arrays efficiently. Dynamically generates CPU and GPU modules for good performance. Deep Learning Tutorials illustrate deep learning with Theano. Changes:Theano 1.0.2 (23rd of May, 2018)This is a maintenance release of Theano, version We recommend that everybody update to this version. Highlights (since 1.0.1):
A total of 6 people contributed to this release since

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.

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.

About: Deep measuring net sequence(DMNS) is a sequence of three deep measuring nets, the later are deep fcnbased 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 F1score 96.5% in OAD, 91.8% in SVDS ,90.8% in Munich , 87.3% in OIRDS, outperforms SSD, Fater RCNN, etc. Changes:Initial Announcement on mloss.org.

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 0.17 20180514
Aika Version 0.15 20180316

About: A WEKA package for analyzing emotion and sentiment of tweets. Changes:Initial Announcement on mloss.org.

About: Bayesian Additive Regression Trees Changes:Fetched by rcranrobot on 20180901 00:00:04.021726

About: A fast and scalable graphbased clustering algorithm based on the eigenvectors of the nonlinear 1Laplacian. Changes:

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:

About: A Graphical Tool for Designing and Training Deep Neural Networks Changes:

About: Mining Association Rules and Frequent Itemsets Changes:Fetched by rcranrobot on 20180901 00:00:03.513366

About: SMPyBandits: an OpenSource Research Framework for Single and MultiPlayers MultiArms Bandits (MAB) Algorithms in Python Changes:Initial Announcement on mloss.org.

About: Python module for machine learning multivariate time series Changes:Initial Announcement on mloss.org.

About: Baycomp is a library for Bayesian comparison of classifiers, as a better alternative for nullhypothesis significance testing. Changes:Initial Announcement on mloss.org.

About: Somoclu is a massively parallel implementation of selforganizing 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:
