Projects supporting the bin data format.


Logo JMLR MLPACK 3.0.2

by rcurtin - June 9, 2018, 18:03:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 119148 views, 21460 downloads, 0 subscriptions

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About: A fast, flexible C++ machine learning library, with bindings to other 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).

Logo Online Sketching Hashing 1.0

by openpr_nlpr - February 6, 2017, 10:36:19 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2428 views, 412 downloads, 0 subscriptions

About: This is an online hashing algorithm which can handle the stream data with low computational cost.

Changes:

Initial Announcement on mloss.org.


Logo java machine learning platform 1.0

by openpr_nlpr - April 2, 2015, 09:02:14 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4295 views, 806 downloads, 0 subscriptions

About: Jmlp is a java platform for both of the machine learning experiments and application. I have tested it on the window platform. But it should be applicable in the linux platform due to the cross-platform of Java language. It contains the classical classification algorithm (Discrete AdaBoost.MH, Real AdaBoost.MH, SVM, KNN, MCE,MLP,NB) and feature reduction(KPCA,PCA,Whiten) etc.

Changes:

Initial Announcement on mloss.org.


Logo semi supervised learning for rgb d object recognition 1.0

by openpr_nlpr - November 4, 2014, 03:24:56 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4607 views, 881 downloads, 0 subscriptions

About: This provide a semi-supervised learning method based co-training for RGB-D object recognition. Besides, we evaluate four state-of-the-art feature learing method under the semi-supervised learning framework.

Changes:

Initial Announcement on mloss.org.


Logo RLLib Lightweight On or Off Policy Reinforcement Learning Library 2.0

by saminda - April 25, 2014, 02:58:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 22890 views, 3816 downloads, 0 subscriptions

About: RLLib is a lightweight C++ template library that implements incremental, standard, and gradient temporal-difference learning algorithms in Reinforcement Learning. It is an optimized library for robotic applications and embedded devices that operates under fast duty cycles (e.g., < 30 ms). RLLib has been tested and evaluated on RoboCup 3D soccer simulation agents, physical NAO V4 humanoid robots, and Tiva C series launchpad microcontrollers to predict, control, learn behaviors, and represent learnable knowledge. The implementation of the RLLib library is inspired by the RLPark API, which is a library of temporal-difference learning algorithms written in Java.

Changes:

Current release version is v2.0.


Logo Divvy 1.1.1

by jlewis - November 14, 2012, 20:21:29 CET [ Project Homepage BibTeX Download ] 6245 views, 3255 downloads, 0 subscriptions

About: Divvy is a Mac OS X application for performing dimensionality reduction, clustering, and visualization.

Changes:

Initial Announcement on mloss.org.


Logo sccan 0.0

by stnava - January 13, 2011, 18:14:20 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6774 views, 1649 downloads, 0 subscriptions

About: A work in progress

Changes:

Initial Announcement on mloss.org.


Logo ELF Ensemble Learning Framework 0.1

by mjahrer - May 10, 2010, 23:54:53 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8338 views, 1534 downloads, 0 subscriptions

About: ELF provides many well implemented supervised learners for classification and regression tasks with an opportunity of ensemble learning.

Changes:

Initial Announcement on mloss.org.