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Showing Items 11-20 of 537 on page 2 of 54: Previous 1 2 3 4 5 6 7 Next Last

Logo Toeblitz Toolkit for Fast Toeplitz Matrix Operations 1.03

by cunningham - August 13, 2014, 02:21:36 CET [ BibTeX Download ] 1959 views, 503 downloads, 2 subscriptions

About: Toeblitz is a MATLAB/Octave package for operations on positive definite Toeplitz matrices. It can solve Toeplitz systems Tx = b in O(n*log(n)) time and O(n) memory, compute matrix inverses T^(-1) (with free log determinant) in O(n^2) time and memory, compute log determinants (without inverses) in O(n^2) time and O(n) memory, and compute traces of products A*T for any matrix A, in minimal O(n^2) time and memory.

Changes:

Adding a write-up in written/toeblitz.pdf describing the package.


Logo libcmaes 0.8.1

by beniz - August 12, 2014, 16:18:31 CET [ Project Homepage BibTeX Download ] 705 views, 135 downloads, 2 subscriptions

About: Libcmaes is a multithreaded C++11 library for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy. Libcmaes is useful to minimize / maximize any function, without information regarding gradient or derivability.

Changes:
  • Added customization of data to file streaming function, ref #51
  • Added configure control for compiling the library alone without examples or tools, ref #11
  • Fixed code in order to avoid various compiler warnings
  • Fixed sample code in README, ref #54
  • Fixed get_max_iter and set_mt_feval in Parameters object
  • New CMAParameters constructor, from x0 as a vector of double
  • Updated building instructions for Mac OSX
  • New set_str_algo in Parameters object

Logo Caffe 0.9999

by sergeyk - August 9, 2014, 01:57:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3156 views, 531 downloads, 2 subscriptions

About: Caffe aims to provide computer vision scientists with a clean, modifiable implementation of state-of-the-art deep learning algorithms. We believe that Caffe is the fastest available GPU CNN implementation. Caffe also provides seamless switching between CPU and GPU, which allows one to train models with fast GPUs and then deploy them on non-GPU clusters. Even in CPU mode, computing predictions on an image takes only 20 ms (in batch mode).

Changes:

LOTS of stuff: https://github.com/BVLC/caffe/releases/tag/v0.9999


Logo hca 0.6

by wbuntine - August 6, 2014, 14:24:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3614 views, 674 downloads, 3 subscriptions

About: Multi-core non-parametric and bursty topic models (HDP-LDA, DCMLDA, and other variants of LDA) implemented in C using efficient Gibbs sampling, with hyperparameter sampling and other flexible controls.

Changes:

Modified command line -A and -B formats. Overhaul of diagnostics. Described changes in manual. Bug fixes: multi-core crashing when huge number of topics; -B when using number and fitting beta, beta sampling wasn't working; both now fixed.


Logo pSpectralClustering 1.1

by tbuehler - July 30, 2014, 19:44:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4784 views, 1059 downloads, 2 subscriptions

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

Changes:
  • fixed compatibility issue with Matlab R2013a+
  • several internal optimizations

Logo Harry 0.3

by konrad - July 30, 2014, 16:15:26 CET [ Project Homepage BibTeX Download ] 1554 views, 332 downloads, 2 subscriptions

About: A Tool for Measuring String Similarity

Changes:

This new release implements 21 similarity measures for strings (Option -M). It supports splitting the computation of large similarity matrices into blocks and thus allows comparing large sets of strings (Option -s as well as -x and -y). The command-line interface has been improved and several minor bugs have been fixed.


Logo QSMM 1.16

by olegvol - July 29, 2014, 19:37:31 CET [ Project Homepage BibTeX Download ] 354 views, 65 downloads, 3 subscriptions

About: The implementation of adaptive probabilistic mappings.

Changes:

Initial Announcement on mloss.org.


Logo Boosted Decision Trees and Lists 1.0.4

by melamed - July 25, 2014, 23:08:32 CET [ BibTeX Download ] 2415 views, 750 downloads, 3 subscriptions

About: Boosting algorithms for classification and regression, with many variations. Features include: Scalable and robust; Easily customizable loss functions; One-shot training for an entire regularization path; Continuous checkpointing; much more

Changes:
  • added ElasticNets as a regularization option
  • fixed some segfaults, memory leaks, and out-of-range errors, which were creeping in in some corner cases
  • added a couple of I/O optimizations

Logo JMLR JKernelMachines 2.4

by dpicard - July 24, 2014, 13:51:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10969 views, 2833 downloads, 2 subscriptions

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About: machine learning library in java for easy development of new kernels

Changes:

Version 2.4

  • Added a simple GUI to rapidly test some algorithms
  • New Active Learning package
  • New algorithms (LLSVM, KMeans)
  • New Kernels (Polynomials, component wise)
  • Many bugfixes and improvements to existing algorithms
  • Many optimization

The number of changes in this version is massive, test it! Don't forget to report any regression.


Logo Optunity 0.2.0

by claesenm - July 24, 2014, 10:07:54 CET [ Project Homepage BibTeX Download ] 349 views, 102 downloads, 1 subscription

About: Optunity is a library containing various optimizers for hyperparameter tuning. Hyperparameter tuning is a recurrent problem in many machine learning tasks, both supervised and unsupervised.This package provides several distinct approaches to solve such problems including some helpful facilities such as cross-validation and a plethora of score functions.

Changes:

Initial Announcement on mloss.org.


Showing Items 11-20 of 537 on page 2 of 54: Previous 1 2 3 4 5 6 7 Next Last