Search Results for "machine learning python" - Page 5

An experimental ISS for freescale's e500v2 core. It is meant to simulate only cpu and memory subsystem and is purely intended for academic/learning purposes only.

1. Add JBoss Application Server 4.2.3.GA for JDK 6. 2. Cleanup for Windows and deprecated files. 3. Off CONSOLE records - http://forums.dcm4che.org/jiveforums/thread.jspa?messageID=4787

Python script that was originally intended for use in forensic examinations that parses WTMP files from Unix-like operating systems and generates a CSS-styled HTML report containing login terminal, username, log start date and login time/date in a table. Good for postmortem forensic examinations or as a way of getting "last" like information where you don't have the ability to boot the machine in question but can grab the wtmp.

Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.

JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3.

This is the backend source code of the Atlas2-Cloud pipeline on Amazon which starts and terminates worker nodes, runs analysis and monitors worker instances. It is PRIMARILY meant to be used through Amazon Web Services (AWS) management console by looking for the public Atlas2-Cloud machine image. Alternatively, the code can also be used for running the pipeline from your computer. By installing this software on your computer you will be setting up your computer to act as the head node...

Open Bayes is a python free/open library that allows users to easily create a bayesian network and perform inference/learning on it. It is mainly inspired from the Bayes Net Toolbox (BNT) but uses python as a base language. www.openbayes.org

Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.

rmachine is a register machine simulator (the complexity theory version), programmed in python, complete with a module to be used in your programs and a (PyQt4) GUI.

An agent-based situated language learning simulation that focuses on lexical learning and grounding, featuring a unigram syntax structure and a CFG-based semantic grammar. Created as a MSc thesis project, using python.

A free Spanish - English Translator for Linux. It will translate a phrase (via internet) or single word (built-in dictionary.) Has capability to learn new words and is smart enough to find plural and feminine words. Written using Python/GTK under GPL

A genetic algorithm in Python for evolving programs that write a given string to an allocated dataspace, using a made-up machine language with only 7 instructions and flow reversal.

GraphicalOSfp is a python application which aims to collect random data issued by remote systems in IP and TCP sequences. These data are then displayed in a 3D referencial to highlight an attractor of the random engine of the remote machine.

Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.

Naimath (syn. blessing) is a project to create tools for diagnosis, management of clinical cases in the form of Rule based Medical Expert System integrating Interactive Health education, Semantified EMR, and serve as a learning tool for students. Website seen at www.naimath.com

A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.

Hermetica is an educational tool for learning about logic. It functions partly as a proof checker with inline annotations. It will also support python scripting for automated subproofs and calculations. I would especially like help with the artwork.

This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.

pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.

Python framework for video processing and content analysis using CUDA for acceleration.

Moved to Github: http://github.com/tremby/py-translate

A program to generate the Computer Numeric Code used by the huskystar C20 Sewing Machine