Search Results for "machine learning python" - Page 70
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Showing 1983 open source projects for "machine learning python"
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pySTEP or Python Strongly Typed gEnetic Programming: A light Genetic Programming API that allows the user to easily evolve populations of trees with precise grammatical and structural constraints.
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PACS VM
ISO - Customized version of dcm4chee 2.17.3 for MySQL.
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 -
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yacaree: Yet Another Closure-based Association Rules Experimentation Environment (Development stalled here, check out under Wiki to find where it went.)
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WTMParse
Python script to parse Unix-like WTMP files
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. -
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Horrid'
Text based game made in python 3.3
Horrid' is a text based game made in python 3.3. Right now it's just a fun project, for learning and entertaining myself. I am still learning python for more advanced uses and programming. In future it is going to have UI and advanced text. It is not advanced. -
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LinuxNub Forensics Learning Program
Simple Python Script that helps teach a user Linux Forensics
A simple python based script that runs Linux tools from the command line to conduct a simple Linux forensic investigation of a targeted image. Currently a work in progress. Contact Info: joem3921@gmail.com -
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FortGrapher
InLine Plot with Fortran
...When you call the main subroutine in this module which is called FORTPLOT, it creates a python coded file that you can execute it at any time to get the plots and take a decision about continue the run or halt it. So, with multiple nodes machine you can assign a node for running the python coded file created by the Fortran code to get you data plotted. -
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EmailCellUsage
Emails AT&T, Sprint, or Verizon Cell Phone Usage stats
Allows you to schedule automatic email reports of cell phone usage on Sprint, AT&T, and Verizon accounts. Works on OSX, Linux, and Windows and emails are specifically formatted to look their best on IOS devices. Ideal for tracking family use. Parent can get master reports of everyone's usage, kids can get a usage report of only their usage without needing to know the login account of the cell phone account. Supports multiple cell phone accounts from different carriers. No need to... -
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pyIRDG
IMDb Relational Dataset Generator
pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit... -
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SPL is a programming language for people who are just learning programming. It runs using Python 3 (downloadable from python.org).
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yafra
Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework
Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on! -
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AutoCache
XBMC add-on for automatically caching network files on playback
AutoCache is an XBMC add-on that automatically copies network media content to the local machine on playback. Files are locally cached as fast as possible, ensuring continuous playback if the network connection goes down. -
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FBA-Machine
Time on Task observation tool for educators and psychologists
FBA-Machine is a time on task observation tool designed for special educators and school psychologists. It allows for accurate timing of individual on-task and off-task events rather than sampling intervals like a paper observation. Useful for planning behavior support plans and for evaluating the effectiveness of pharmaceutical interventions. -
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. -
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Pronac MediaMonkey Extension
Recommends music based upon your current taste.
...Play the first song from the Now Playing list, it'll recommend you next songs from the same list. NOTE: MAKE SURE THAT SONG SHUFFLE IS TURNED OFF WHILE USING PRONAC. Based upon K-Nearest Neighbor Machine Learning Algorithm, K-Fold Cross Validation and EchoNest for audio features. -
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Jython is a Java implementation of the Python language. It allows users to compile Python source code to Java byte codes, and run the resulting bytecodes on any Java Virtual Machine. It is the successor to JPython.
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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.
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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.
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PyVocabularyTree
A vocabulary tree for image classification using OpenCV
A vocabulary tree for image classification have been designed to be integrated in mobile robotic applications. It is a learning schema based on decission trees, bags of features and inverted files. The design provides training and optimization parameters that have been characterized using several detectors and descriptors for several input datasets. Evaluation tests performed on public image databases allow to compare obtained results with previously published literature. All the tools... -
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mlpy
Machine Learning Python
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. -
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jallie
Java classfile assembler/disassembler and interactive low-level editor
Java Classfile assembler/disassembler and low-level interactive editor. Allows viewing and manipulation of Java class data both manually and via scripts. Load in a class file, make changes, and then save the result. -
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VIT Marks Display
A small program that accesses VIT marks of a specific student
A small attempt while learning interfacing with the web while learning python to get the marks of a specific valid VIT student using basic web scraping techniques -
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Karesansui is an open-source virtualization management application made in Japan. It's smart graphical user interface lowers your management cost, and brings a total management/audit solution for both physical and virtual servers. Full featured RESTful interface allows customizing and integration with other management/billing systems.
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Easy control of virtual machines of VirtualBox (virtualization solution) on a Linux headless server. Autostart and autosave on boot/halt. Start, stop, save, backup and show status of sessions in batch mode from command line.
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Malware Classifier
Perform quick, easy classification of binaries for malware analysis.
Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. ...
