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Logo Operator Discretization Library 0.6

by jonasadl - December 19, 2017, 15:24:08 CET [ Project Homepage BibTeX Download ] 5917 views, 1578 downloads, 0 subscriptions

About: Operator Discretization Library (ODL) is a Python library that enables research in inverse problems on realistic or real data.

Changes:

Initial Announcement on mloss.org.


Logo Aboleth 0.7

by dsteinberg - December 14, 2017, 02:39:19 CET [ Project Homepage BibTeX Download ] 17198 views, 4535 downloads, 0 subscriptions

About: A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Changes:

Release 0.7.0

  • Update to TensorFlow r1.4.

  • Tutorials in the documentation on:

  • Interfacing with Keras

  • Saving/loading models

  • How to build a variety of regressors with Aboleth

  • New prediction module with some convenience functions, including freezing the weight samples during prediction.

  • Bayesian convolutional layers with accompanying demo.

  • Allow the number of samples drawn from a model to be varied by using placeholders.

  • Generalise the feature embedding layers to work on matrix inputs (instead of just column vectors).

  • Numerous numerical and usability fixes.


Logo sparkcrowd 0.1.5

by enriquegrodrigo - December 13, 2017, 13:13:35 CET [ Project Homepage BibTeX Download ] 12403 views, 3213 downloads, 0 subscriptions

About: A Spark package implementing algorithms for learning from crowdsourced big data.

Changes:

Changes: - Minor improvements in code and documentation


Logo JMLR GPML Gaussian Processes for Machine Learning Toolbox 4.1

by hn - November 27, 2017, 19:26:13 CET [ Project Homepage BibTeX Download ] 87039 views, 19388 downloads, 0 subscriptions

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About: The GPML toolbox is a flexible and generic Octave/Matlab implementation of inference and prediction with Gaussian process models. The toolbox offers exact inference, approximate inference for non-Gaussian likelihoods (Laplace's Method, Expectation Propagation, Variational Bayes) as well for large datasets (FITC, VFE, KISS-GP). A wide range of covariance, likelihood, mean and hyperprior functions allows to create very complex GP models.

Changes:

Logdet-estimation functionality for grid-based approximate covariances

  • Lanczos subspace estimation

  • Chebyshef polynomial expansion

More generic infEP functionality

  • dense computations and sparse approximations using the same code

  • covering KL inference as a special cas of EP

New infKL function contributed by Emtiyaz Khan and Wu Lin

  • Conjugate-Computation Variational Inference algorithm

  • much more scalable than previous versions

Time-series covariance functions on the positive real line

  • covW (i-times integrated) Wiener process covariance

  • covOU (i-times integrated) Ornstein-Uhlenbeck process covariance (contributed by Juan Pablo Carbajal)

  • covULL underdamped linear Langevin process covariance (contributed by Robert MacKay)

  • covFBM Fractional Brownian motion covariance

New covariance functions

  • covWarp implements k(w(x),w(z)) where w is a "warping" function

  • covMatern has been extended to also accept non-integer distance parameters


Logo DFLsklearn, Hyperparameters optimization in Scikit Learn 0.1

by vlatorre - November 23, 2017, 13:14:36 CET [ Project Homepage BibTeX Download ] 5423 views, 1904 downloads, 0 subscriptions

About: A method to optimize the hyperparameters for machine learning methods implemented in Scikit-learn based on Derivative Free Optimization

Changes:

Initial Announcement on mloss.org.


Logo Obandit 0.2

by fre - November 6, 2017, 14:33:02 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6589 views, 1534 downloads, 0 subscriptions

About: Obandit is an Ocaml module for multi-armed bandits. It supports the EXP, UCB and Epsilon-greedy family of algorithms.

Changes:

Initial Announcement on mloss.org.


Logo HIERDENC 1.0

by billandreo - October 31, 2017, 16:01:32 CET [ Project Homepage BibTeX Download ] 6932 views, 3849 downloads, 0 subscriptions

About: This is a tool for retrieving nearest neighbors and clustering of large categorical data sets represented in transactional form. The clustering is achieved via a locality-sensitive hashing of categorical datasets for speed and scalability.

Changes:

Initial Announcement on mloss.org.


Logo Accord.NET Framework 3.8.0

by cesarsouza - October 23, 2017, 20:50:27 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 78458 views, 15744 downloads, 0 subscriptions

About: The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details.

Changes:

For a complete list of changes, please see the full release notes at the release details page at:

https://github.com/accord-net/framework/releases/tag/v3.8.0


Logo bufferkdtree 1.3

by fgieseke - October 20, 2017, 11:39:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6446 views, 1961 downloads, 0 subscriptions

About: The bufferkdtree package is a Python library that aims at accelerating nearest neighbor computations using both k-d trees and modern many-core devices such as graphics processing units (GPUs).

Changes:

Initial Announcement on mloss.org.


Logo r-cran-effects 4.0-0

by r-cran-robot - September 14, 2017, 00:00:00 CET [ Project Homepage BibTeX Download ] 8333 views, 2163 downloads, 0 subscriptions

About: Effect Displays for Linear, Generalized Linear, and Other Models

Changes:

Fetched by r-cran-robot on 2018-01-01 00:00:07.810965


Logo JMLR Jstacs 2.3

by keili - September 13, 2017, 14:25:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 63530 views, 13985 downloads, 0 subscriptions

About: A Java framework for statistical analysis and classification of biological sequences

Changes:

New classes and packages:

  • Jstacs 2.3 is the first release to be accompanied by JstacsFX, a library for building JavaFX-based graphical user interfaces based on JstacsTools
  • new interface MultiThreadedFunction
  • new class LargeSequenceReader for reading large sequence files in chunks
  • new interface QuickScanningSequenceScore
  • new class RegExpValidator for checking String inputs against a regular expression
  • new class IUPACDNAAlphabet

New features and improvements:

  • Alignments may now handle different costs for insert and delete gaps
  • ListResults may now be constructed from Collections of ResultSets
  • Several minor improvements and bugfixes in many classes
  • Improvements of documentation of several classes

Logo A Statistical Audit for Reproducibility and Altermate Analysis 0.1

by matloff - September 5, 2017, 06:51:27 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7072 views, 1839 downloads, 0 subscriptions

About: Tool aimed at helping remedy the reproducibility problem, specifically in the statistical and data wrangling aspects.

Changes:

Initial Announcement on mloss.org.


Logo Top Frequency Based Parallel Coordinates 1.0.0

by matloff - September 5, 2017, 05:49:41 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6582 views, 1617 downloads, 0 subscriptions

About: A novel method to create parallel coordinates plots on large data sets without causing a "black screen" problem.

Changes:

Initial Announcement on mloss.org.


Logo iLANN SVD. An incremental noniterative learning method for one layer feedforwar 1.0

by ofontenla - August 16, 2017, 11:53:40 CET [ BibTeX BibTeX for corresponding Paper Download ] 5531 views, 1515 downloads, 0 subscriptions

About: A non-iterative, incremental and hyperparameter-free learning method for one-layer feedforward neural networks without hidden layers. This method efficiently obtains the optimal parameters of the network, regardless of whether the data contains a greater number of samples than variables or vice versa. It does this by using a square loss function that measures errors before the output activation functions and scales them by the slope of these functions at each data point. The outcome is a system of linear equations that obtain the network's weights and that is further transformed using Singular Value Decomposition.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-CORElearn 1.51.2

by r-cran-robot - August 8, 2017, 00:00:00 CET [ Project Homepage BibTeX Download ] 57727 views, 13537 downloads, 0 subscriptions

About: Classification, Regression and Feature Evaluation

Changes:

Fetched by r-cran-robot on 2018-01-01 00:00:07.164852


Logo LANN SVD. A noniterative SVD based learning algorithm for one layer neural nets 1.0

by ofontenla - August 7, 2017, 13:52:19 CET [ BibTeX BibTeX for corresponding Paper Download ] 5507 views, 1476 downloads, 0 subscriptions

About: A non-iterative learning method for one-layer (no hidden layer) neural networks, where the weights can be calculated in a closed-form manner, thereby avoiding low convergence rate and also hyperparameter tuning. The proposed learning method, LANN-SVD in short, presents a good computational efficiency for large-scale data analytic.

Changes:

Initial Announcement on mloss.org.


Logo A framework for benchmarking of feature selection algorithms and cost functions v1.3

by msreis - August 4, 2017, 00:19:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8811 views, 1738 downloads, 0 subscriptions

About: An open-source framework for benchmarking of feature selection algorithms and cost functions.

Changes:

Initial Announcement on mloss.org.


Logo pSpectralClustering 1.2

by tbuehler - July 30, 2017, 20:07:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 25328 views, 5055 downloads, 0 subscriptions

About: A generalized version of spectral clustering using the graph p-Laplacian.

Changes:

various internal optimizations


Logo KeBABS 1.5.4

by UBod - July 28, 2017, 09:55:04 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 76073 views, 15079 downloads, 0 subscriptions

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About: Kernel-Based Analysis of Biological Sequences

Changes:
  • importing apcluster package for avoiding method clashes
  • improved and completed change history in inst/NEWS and package vignette

Logo APCluster 1.4.4

by UBod - July 28, 2017, 09:47:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 107806 views, 20263 downloads, 0 subscriptions

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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:
  • changed dependency to suggested package 'kebabs' to version of at least 1.5.4 for improved interoperability
  • bug fix in as.dendrogram() method with signature 'AggExResult'
  • added discrepancy metric to distance computations and updated src/distanceL.c to new version
  • registered C/C++ subroutines
  • minor change in the vignette template
  • moved NEWS to inst/NEWS
  • added inst/COPYRIGHT

Showing Items 41-60 of 676 on page 3 of 34: Previous 1 2 3 4 5 6 7 8 Next Last