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MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. MLOSS | PROJECT DETAILS:SVDFEATURE, A TOOLKIT FOR SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchicalinformation.
MLOSS | PROJECT DETAILS:MLPACK Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of commonMLOSS | ALL ENTRIES
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. Changes:-Includes freshly written spirit parser for .pomdp files. -Includes new code for pruning POMDP vectors; obviates dependence on Cassandra's code and old LPsolve version.
MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. MLOSS | PROJECT DETAILS:SVDFEATURE, A TOOLKIT FOR SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchicalinformation.
MLOSS | PROJECT DETAILS:MLPACK Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of commonMLOSS | ALL ENTRIES
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. Changes:-Includes freshly written spirit parser for .pomdp files. -Includes new code for pruning POMDP vectors; obviates dependence on Cassandra's code and old LPsolve version.
MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 MLOSS | PROJECTS THAT USE CYTHON AS THE PROGRAMMING LANGUAGE. About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting). Changes: Fixed bug where results using same random seedwere different
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | AUTHORS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:HCA Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | PROJECT DETAILS:SVDFEATURE, A TOOLKIT FOR SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchicalinformation.
MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. MLOSS | PROJECT DETAILS:MLPACK Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of commonMLOSS | ALL ENTRIES
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. Changes:-Includes freshly written spirit parser for .pomdp files. -Includes new code for pruning POMDP vectors; obviates dependence on Cassandra's code and old LPsolve version.
MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | PROJECT DETAILS:SVDFEATURE, A TOOLKIT FOR SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchicalinformation.
MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. MLOSS | PROJECT DETAILS:MLPACK Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of commonMLOSS | ALL ENTRIES
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. Changes:-Includes freshly written spirit parser for .pomdp files. -Includes new code for pruning POMDP vectors; obviates dependence on Cassandra's code and old LPsolve version.
MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | AUTHORS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 MLOSS | PROJECTS THAT USE CYTHON AS THE PROGRAMMING LANGUAGE. About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting). Changes: Fixed bug where results using same random seedwere different
MLOSS | PROJECT DETAILS:HCA Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ABOUT
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:SVDFEATURE, A TOOLKIT FOR SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchicalinformation.
MLOSS | AUTHORS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. MLOSS | PROJECT DETAILS:MLPACK Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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. Changes:-Includes freshly written spirit parser for .pomdp files. -Includes new code for pruning POMDP vectors; obviates dependence on Cassandra's code and old LPsolve version.
MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of common MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | NIPS 2013 WORKSHOP ON MACHINE LEARNING OPEN SOURCE Call for Contributions. The organizing committee is currently seeking abstracts for talks at MLOSS 2013. MLOSS is a great opportunity for you to tell the community about your use, development, philosophy, or other activities related to open source software in machine learning.MLOSS | ALL ENTRIES
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ABOUT
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:SVDFEATURE, A TOOLKIT FOR SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchicalinformation.
MLOSS | AUTHORS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. MLOSS | PROJECT DETAILS:MLPACK Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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. Changes:-Includes freshly written spirit parser for .pomdp files. -Includes new code for pruning POMDP vectors; obviates dependence on Cassandra's code and old LPsolve version.
MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of common MLOSS | PROJECT DETAILS:GPML GAUSSIAN PROCESSES FOR GPML Gaussian Processes for Machine Learning Toolbox 4.1. The GPML toolbox implements approximate inference algorithms for Gaussian processes such as Expectation Propagation, the Laplace Approximation and Variational Bayes for a wide class of likelihood functions for both regression and classification. It comes with a big algebra ofcovariance
MLOSS | NIPS 2013 WORKSHOP ON MACHINE LEARNING OPEN SOURCE Call for Contributions. The organizing committee is currently seeking abstracts for talks at MLOSS 2013. MLOSS is a great opportunity for you to tell the community about your use, development, philosophy, or other activities related to open source software in machine learning.MLOSS | ALL ENTRIES
About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface.MLOSS | ALL ENTRIES
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 & hardwareproducts).
MLOSS | PROGRAMMING LANGUAGES Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | ALL ENTRIES
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 MLOSS | PROJECTS THAT USE CYTHON AS THE PROGRAMMING LANGUAGE. About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting). Changes: Fixed bug where results using same random seedwere different
MLOSS | PROJECT DETAILS:MITOOLBOX MIToolbox 3.0.1. A mutual information library for C/C++ and Mex bindings for MATLAB. This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of common MLOSS | PROJECT DETAILS:HCA Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange. MLOSS | PROJECT DETAILS:R-CRAN-BART r-cran-BART 1.9. Bayesian Additive Regression Trees: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information on BART, see Chipman, George and McCulloch (2010) and Sparapani, Logan, McCulloch andLaud (2016
MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.MLOSS | TAGS
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.Login
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LATEST THOUGHTS
* MLOSS workshop at ICML 2015: Open Ecosystems by ANTTI HONKELA on March 30, 2015 * A third of the top 100 papers are about software by CHENG SOON ONG on October 30, 2014 * Open Machine Learning Workshop by CHENG SOON ONG on July 28, 2014 * Machine Learning Distro by CHENG SOON ONG on July 22, 2014 * Google Summer of Code 2014 by CHENG SOON ONG on June 3, 2014 * Reproducibility is not simple by CHENG SOON ONG on March 30, 2014 * Keynotes at ACML 2013 by CHENG SOON ONG on November 14, 2013 * What does the “OSS” in MLOSS mean? by MARK REID on September 1, 2013 * Code review for science by CHENG SOON ONG on August 14, 2013* GSoC 2013
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CONTEXTUAL 0.9.8.4
by robinvanemden - July 27, 2020,16:05:32 CET 8227
views, 2252 downloads, 2 subscriptions ABOUT: R package facilitating the simulation and evaluation of context-free and contextual Multi-Armed Bandit policies.CHANGES:
Minor update.
------------------------- * AUTHORS: Robin Van Emden , Maurits Kaptein , Jules Kruijswijk * LICENSE: Gnu Gpl V3 * PROGRAMMING LANGUAGE: R * OPERATING SYSTEM: Agnostic * DATA FORMATS: Agnostic * TAGS: Reinforcement Learning, Simulation
, Data Generator
, Context Aware Recommendation, Bandits
, Comparisons
R-CRAN-BORUTA 6.0.0
by r-cran-robot - September 1, 2018,00:00:04 CET 51296
views, 11699 downloads, 0 subscriptions ABOUT: Wrapper Algorithm for All Relevant Feature SelectionCHANGES:
Fetched by r-cran-robot on 2018-09-01 00:00:04.516878 ------------------------- * AUTHORS: Miron Bartosz Kursa () , Witold Remigiusz Rudnicki * LICENSE: Gpl Version 2 Or Later * PROGRAMMING LANGUAGE: R * OPERATING SYSTEM: Agnostic* TAGS: R-Cran
R-CRAN-BART 1.9
by r-cran-robot - August 17, 2018,00:00:00 CET 10291
views, 2857 downloads, 0 subscriptions ABOUT: Bayesian Additive Regression TreesCHANGES:
Fetched by r-cran-robot on 2018-09-01 00:00:03.597464 ------------------------- * AUTHORS: Robert Mcculloch , Rodney Sparapani , Robert Gramacy , Charles Spanbauer , Matthew Pratola , Bill Venables, Brian Ripley
* LICENSE: Gpl Version 2 Or Later * PROGRAMMING LANGUAGE: R * OPERATING SYSTEM: Agnostic* TAGS: R-Cran
R-CRAN-BST 0.3-15
by r-cran-robot - July 22, 2018,00:00:00 CET 22110
views, 5553 downloads, 0 subscriptions ABOUT: Gradient BoostingCHANGES:
Fetched by r-cran-robot on 2018-09-01 00:00:05.199020 -------------------------* AUTHORS: Zhu Wang
, Torsten Hothorn
* LICENSE: Gpl Version 2 Or Later * PROGRAMMING LANGUAGE: R * OPERATING SYSTEM: Agnostic* TAGS: R-Cran
MLPACK 3.0.2
by rcurtin - June 9, 2018, 18:03:57 CET 148396 views, 26922 downloads, 0 subscriptionsRating
(based on 1 vote)
ABOUT: A fast, flexible C++ machine learning library, with bindings toother languages.
CHANGES:
Released June 8th, 2018. * Documentation generation fixes for Python bindings (#1421). * Fix build error for man pages if command-line bindings are not being built (#1424). * Add shuffle parameter and Shuffle() method to KFoldCV (#1412). This will shuffle the data when the object is constructed, or when Shuffle() is called. * Added neural network layers: AtrousConvolution (#1390), Embedding (#1401), and LayerNorm (layer normalization) (#1389). * Add Pendulum environment for reinforcement learning (#1388) and update Mountain Car environment (#1394). ------------------------- * AUTHORS: Ryan Curtin , James Cline, Neil Slagle
, Matthew Amidon
, Ajinkya Kale
, Bill March
, Nishant Mehta
, Parikshit Ram
, Dongryeol Lee
, Rajendran Mohan
, Trironk Kiatkungwanglai, Patrick Mason
, Marcus Edel
, Etc
* LICENSE: Bsd , Bsd 3 Clause License * PROGRAMMING LANGUAGE: C++ , Python, Shell
* OPERATING SYSTEM: Platform Independent * DATA FORMATS: Plain Ascii ,Ascii , Txt ,
Hdf , Bin , Csv
, Xml
* JMLR-MLOSS PUBLICATION: JMLR Page * TAGS: Gmm , Hmm , MachineLearning , Sparse
, Dual Tree , Fast
, Scalable , Tree
SPECTRA. A LIBRARY FOR LARGE SCALE EIGENVALUE PROBLEMS 0.6.2 by yixuanq - May 23, 2018, 19:40:46 CET 10617 views, 2631 downloads, 0 subscriptions ABOUT: A header-only C++ library for solving large scale eigenvalueproblems
CHANGES:
* Fixed regressions in v0.6.1 on some edge cases * Improved the accuracy of restarting processes in SymEigsSolver andGenEigsSolver
* Code and documentation cleanup ------------------------- * AUTHORS: Yixuan Qiu * LICENSE: Mozilla Public License 2.0 * PROGRAMMING LANGUAGE: C++ * OPERATING SYSTEM: Agnostic * DATA FORMATS: Matrix * TAGS: Singular Value Decomposition , Principal Component Analysis , Factorization, Eigenvalue
THEANO 1.0.2
by jaberg - May 23, 2018, 16:34:31 CET 65394 views, 11439 downloads, 0 subscriptions ABOUT: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Dynamically generates CPU and GPU modules for good performance. Deep Learning Tutorials illustrate deep learning withTheano.
CHANGES:
THEANO 1.0.2 (23RD OF MAY, 2018) This is a maintenance release of Theano, version 1.0.2, with no new features, but some important bug fixes. We recommend that everybody update to this version. Highlights (since 1.0.1): * Theano should work under PyPy now (this is experimental). * Update for cuDNN 7.1 RNN API changes. * Fix for a crash related to mixed dtypes with cuDNN convolutions. * MAGMA should work in more cases without manual config. * Handle reductions with non-default accumulator dtype better on theGPU.
* Improvements to the test suite so that it fails less often due torandom chance.
A total of 6 people contributed to this release since 1.0.1:* Frederic Bastien
* Steven Bocco
* Jon Haygood
* Arnaud Bergeron
* Jordan Melendez
* Desiree Vogt-Lee
* Garming Sam
* Pascal Lamblin
* Vincent Dumoulin
* Glexin
* Simon Lefrancois
------------------------- * AUTHORS: Mostly Lisa Lab * LICENSE: Bsd 3 Clause License * PROGRAMMING LANGUAGE: Python , C, Cuda
* OPERATING SYSTEM: Linux , Macosx, Windows
* DATA FORMATS: Agnostic * TAGS: Python , Cuda , Gpu , Symbolic Differentiation, Numpy
DLIB ML 19.11
by davis685 - May 18, 2018, 04:19:52 CET 293983 views, 47024 downloads, 0 subscriptions 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. ------------------------- * AUTHORS: Davis King * LICENSE: Boost Software License * PROGRAMMING LANGUAGE: C++ , Python * OPERATING SYSTEM: Linux , Macosx, Windows , Unix
, Solaris
* DATA FORMATS: Svmlight , Binary, Csv
* JMLR-MLOSS PUBLICATION: JMLR Page * TAGS: Svm , Classification, Clustering
, Regression ,
Kernel Methods , Matrix Library, Kkmeans ,
Optimization , Algorithms , Exact Bayesian Methods , Approximate Inference, Bayesian Networks
, Junction Tree
DATABASES FOR DMNS SOURCE CODES 1.0 by openpr_nlpr - May 15, 2018, 07:56:12CET
5809 views, 1181 downloads, 0 subscriptions 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. ------------------------- * AUTHORS: Xueyun Chen* LICENSE: Bsd
* PROGRAMMING LANGUAGE: C++ * OPERATING SYSTEM: Linux* DATA FORMATS: Any
* TAGS: Dmns
SOURCE CODES OF DMNS BASED ON CAFFE PLATFORM 1.0 by openpr_nlpr - May 15, 2018, 07:52:48CET
5958 views, 1164 downloads, 0 subscriptions 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. ------------------------- * AUTHORS: Xueyun Chen* LICENSE: Bsd
* PROGRAMMING LANGUAGE: C++ * OPERATING SYSTEM: Linux* DATA FORMATS: Any
* TAGS: Dmns
AIKA 0.17
by molzberger - May 14, 2018, 15:42:00CET 14574
views, 3884 downloads, 0 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 mostlikely one.
CHANGES:
AIKA VERSION 0.17 2018-05-14 * Introduction of synapse relations. Previously the relation between synapses was implicitly modeled through word positions (RIDs). Now it is possible to explicitly model relations like: The end position of input activation 1 equals to the begin position of input activation 2. Two types of relations are currently supported, range relations and instance relations. Range relations compare the input activation range of a given synapse with that of the linked synapse. Instance relations also compare the input activations of two synapses, but instead of the ranges the dependency relations of these activations are compared. * Removed the norm term from the interpretation objective function. * Introduction of an optional distance function to synapses. It allows to model a weakening signal depending on the distance of theactivation ranges.
* Example implementation of a context free grammar. * Example implementation for co-reference resolution. * Work on an syllable identification experiment based on the meta network implementation. AIKA VERSION 0.15 2018-03-16 * Simplified interpretation handling by removing the InterpretationNode class and moving the remaining logic to theActivation class.
* Moved the activation linking and activation selection code toseparate classes.
* Ongoing work on the training algorithms. ------------------------- * AUTHORS: Lukas Molzberger * LICENSE: Apache 2.0 * PROGRAMMING LANGUAGE: Java * OPERATING SYSTEM: Platform Agnostic* DATA FORMATS: Txt
* TAGS: Information Extraction, Inference
, Neural Network
, Text Mining
AFFECTIVETWEETS 1.0.1 by felipebravom - May 14, 2018,08:20:50 CET 7122
views, 1850 downloads, 0 subscriptions ABOUT: A WEKA package for analyzing emotion and sentiment of tweets.CHANGES:
Initial Announcement on mloss.org. ------------------------- * AUTHORS: Felipe Bravo * LICENSE: Gnu Gpl Version 3 * PROGRAMMING LANGUAGE: Java * OPERATING SYSTEM: Linux , Macosx, Windows
* DATA FORMATS: Arff * TAGS: Affective Computing , Sentiment Analysis , Twitter R-CRAN-BARTMACHINE 1.2.4.2 by r-cran-robot - May 4, 2018, 00:00:00CET 6260
views, 1727 downloads, 0 subscriptions ABOUT: Bayesian Additive Regression TreesCHANGES:
Fetched by r-cran-robot on 2018-09-01 00:00:04.021726 ------------------------- * AUTHORS: Adam Kapelner , JustinBleich (R Package)
* LICENSE: Gpl Version 3 * PROGRAMMING LANGUAGE: R * OPERATING SYSTEM: Agnostic* TAGS: R-Cran
1SPECTRALCLUSTERING 1.2 by tbuehler - May 1, 2018, 19:26:07 CET 21891 views, 4401 downloads, 0 subscriptions ABOUT: A fast and scalable graph-based clustering algorithm based on the eigenvectors of the nonlinear 1-Laplacian.CHANGES:
* improved optimization of ncut and rcut criterion * optimized eigenvector initialization * changed default values for number of runs * several internal optimizations * made console output more informative ------------------------- * AUTHORS: Matthias Hein , ThomasBuehler
* LICENSE: Gpl Version 3 Or Later * PROGRAMMING LANGUAGE: Matlab , C * OPERATING SYSTEM: Agnostic * DATA FORMATS: Matlab * TAGS: Spectral Clustering , Clustering , Graph Partitioning ARMADILLO LIBRARY 8.500 by cu24gjf - April 23, 2018, 17:29:44 CET 180215 views, 36208 downloads, 0 subscriptionsRating
(based on 3 votes)
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 & hardwareproducts).
CHANGES:
* faster handling of sparse matrices by kron() and repmat() * faster transpose of sparse matrices * faster element access in sparse matrices * faster row iterators for sparse matrices * faster handling of compound expressions by trace() * more efficient handling of aliasing in submatrix views * expanded normalise() to handle sparse matrices * expanded .transform() and .for_each() to handle sparse matrices * added reverse() for reversing order of elements * added repelem() for replicating elements * added roots() for finding the roots of a polynomial ------------------------- * AUTHORS: Conrad Sanderson , Ryan Curtin , Many Contributors * LICENSE: Apache 2.0 * PROGRAMMING LANGUAGE: C++ * OPERATING SYSTEM: Linux , Windows, Unix , Mac Os X
* DATA FORMATS: Ascii , Binary, Hdf , Csv
* TAGS: Matlab , Matrix Library, Atlas , Lapack
, Linear Algebra
, Templates
BARISTA 0.3
by klemms - April 16, 2018, 17:13:03 CET 8776 views, 1628 downloads, 0 subscriptions ABOUT: A Graphical Tool for Designing and Training Deep NeuralNetworks
CHANGES:
* new Caffe version manager * added separate executable for remote server * new Session cloning behavior * improved Host Manager design * change database location in Input Manager * many smaller improvements and bugfixes ------------------------- * AUTHORS: Soeren Klemm , Aaron Scherzinger , Dominik Drees, Xiaoyi Jiang
* LICENSE: Mit License * PROGRAMMING LANGUAGE: Python * OPERATING SYSTEM: Linux , Windows, Os X
* DATA FORMATS: Hdf , Leveldb, Lmdb ,
Prototxt
* TAGS: Neural Networks , MachineLearning
R-CRAN-ARULES 1.6-1
by r-cran-robot - April 4, 2018,00:00:00 CET 85721
views, 19290 downloads, 0 subscriptions ABOUT: Mining Association Rules and Frequent ItemsetsCHANGES:
Fetched by r-cran-robot on 2018-09-01 00:00:03.513366 ------------------------- * LICENSE: Gpl Version 3 * PROGRAMMING LANGUAGE: R * OPERATING SYSTEM: Agnostic* TAGS: R-Cran
SMPYBANDITS 0.9.2
by Naereen - March 20, 2018, 20:12:13 CET 6821 views, 1337 downloads, 0 subscriptions ABOUT: SMPyBandits: an Open-Source Research Framework for Single and Multi-Players Multi-Arms Bandits (MAB) Algorithms in PythonCHANGES:
Initial Announcement on mloss.org. ------------------------- * AUTHORS: Lilian Besson * LICENSE: Mit License * PROGRAMMING LANGUAGE: Python * OPERATING SYSTEM: Platform Independent * DATA FORMATS: Not Applicable * TAGS: Python , Machine Learning , Multi Armed Bandits, Bandits
, Distributed Machine Learning , Stochastic OptimizationSEGLEARN 0.1
by dmbee - March 14, 2018, 21:45:46 CET 5411 views, 1688 downloads, 0 subscriptions ABOUT: Python module for machine learning multivariate time seriesCHANGES:
Initial Announcement on mloss.org. ------------------------- * AUTHORS: David Burns * LICENSE: Bsd 3 Clause License * PROGRAMMING LANGUAGE: Python * OPERATING SYSTEM: Agnostic * DATA FORMATS: Agnostic * TAGS: Sequences , Human Activity Recognition , Time SeriesBAYCOMP 1.0
by janez - March 7, 2018, 01:37:12 CET 5520 views, 1717 downloads, 0 subscriptions ABOUT: Baycomp is a library for Bayesian comparison of classifiers, as a better alternative for null-hypothesis significance testing.CHANGES:
Initial Announcement on mloss.org. ------------------------- * AUTHORS: Janez Demsar , Alessio Benavoli , Giorgio Corani* LICENSE: Mit
* PROGRAMMING LANGUAGE: Python * OPERATING SYSTEM: Any * DATA FORMATS: Agnostic * TAGS: Bayesian Tests , ClassifierComparison
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