mloss | Projects supporting the bin data format.

MLPACK 3.0.2

by rcurtin - June 9, 2018, 18:03:57 CET [ ] 233713 views, 41096 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).

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, Machine Learning, Sparse, Dual Tree, Fast, Scalable, Tree

Online Sketching Hashing 1.0

by openpr_nlpr - February 6, 2017, 10:36:19 CET [ ] 7215 views, 1458 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.

Authors: Cong Leng, Jiaxiang Wu, Jian Cheng
License: None
Programming Language: Matlab

Operating System: Windows
Data Formats: Bin
Tags: Hashing, Binary Code, Online Leaning

java machine learning platform 1.0

by openpr_nlpr - April 2, 2015, 09:02:14 CET [ ] 8936 views, 1813 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.

Authors: Xiaobo Jin
License: Bsd
Programming Language: Java

Operating System: Linux, Windows
Data Formats: Bin
Tags: Classification, Feature Extraction, Experiment, Text Categorization

semi supervised learning for rgb d object recognition 1.0

by openpr_nlpr - November 4, 2014, 03:24:56 CET [ ] 9125 views, 1871 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.

Authors: Yanhua Cheng
License: Free Bsd
Programming Language: Matlab

Operating System: Windows
Data Formats: Bin
Tags: Semi Supervised Learning, Feature Evaluation, Rgb D

RLLib Lightweight On or Off Policy Reinforcement Learning Library 2.0

by saminda - April 25, 2014, 02:58:32 CET [ ] 42655 views, 9580 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.

Authors: Saminda Abeyruwan
License: Apache 2.0
Programming Language: C++

Operating System: Linux, Platform Independent, Windows Under Cygwin
Data Formats: Bin
Tags: Lightweight, Off Policy, On Policy, Reinforcement Learning Library, Standard

Divvy 1.1.1

by jlewis - November 14, 2012, 20:21:29 CET [ ] 9715 views, 4295 downloads, 0 subscriptions

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

Changes:

Initial Announcement on mloss.org.

Authors: Joshua Lewis, Virginia De Sa, Laurens Van Der Maaten
License: Mit
Programming Language: C++, C, Objective C

Operating System: Mac Os X
Data Formats: Bin, Csv
Tags: Clustering, Visualization, Dimensionality Reduction

sccan 0.0

by stnava - January 13, 2011, 18:14:20 CET [ ] 11238 views, 2776 downloads, 0 subscriptions

About: A work in progress

Changes:

Initial Announcement on mloss.org.

Authors: Brian Avants, Lyle Ungar, Paramveer Dhillon, Nicholas Tustison
License: Apache 2.0
Programming Language: C++

Operating System: Agnostic
Data Formats: Binary, Bin
Tags: Sparse, Canonical Correlation, Penalized

ELF Ensemble Learning Framework 0.1

by mjahrer - May 10, 2010, 23:54:53 CET [ ] 12766 views, 2491 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.

Authors: Michael Jahrer
License: Gpl Version 3 Or Later
Programming Language: C++

Operating System: Linux, Other
Data Formats: Arff, Bin, Csv
Tags: Supervised Learning

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