Search Results for "deep learning with python" - Page 80
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Showing 2106 open source projects for "deep learning with python"
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Munin Contrib
Contributed stuff for munin (plugins, tools, etc...)
...Each plugin focuses on graphing a specific metric—from databases and message queues to hardware sensors, web servers, and custom application counters. The collection spans many languages (Shell, Perl, Python, Ruby) and styles, reflecting the breadth of Munin’s user base and the diversity of systems it monitors. While contributions vary in maturity, most include usage notes and configuration examples so you can get a graph online with minimal trial and error. The repository also serves as a learning resource: you can crib patterns for performance tuning, environment detection, and Munin’s plugin protocol. ... -
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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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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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Walley Language is written in C language. The name comes from Wall-E because I like Wall-E and I like AI. I want to make a true AI language. While I only make it like python now. Full codes written in C language. I am using mathomatic as my math-parse which is written in C language too. While I also wrote a math parser on my own, it does not work very well now. just use gcc and compile main.c, it is done.. Tested on Mac and Ubuntu. "gcc -g -o walley main.c -lm" That's all.
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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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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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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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English-Khmer S. Machine Translation
English-Khmer Automatic Statistic Machine Translation (SMT)
Automatic Machine Translation from English to Khmer project is the first effort in Natural Language Processing field for translating English to Khmer (Cambodian) language. This project uses Domy CE, an open source SMT toolkit, for training parallel corpus and web technologies such as Python, Apache2, HTML, XML, and XSLT for developing web-based application. This project is developed by Ms. Kim Sokphyrum (DU) and Ms. Suos Samak (Jamia), under Supervision of Mr. Javier Sola, a Program... -
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Are you listening BBC learning english offline while jogging or walking to job place? This Python script helps you to download and prepare the content to upload to MP3 player. It dowloads the latest set of *.pdf and *.mp3 files from BBC learning english site and updates MP3 tags for easy identification in mp3 player. Required: - Python 3.2 Uses: - id3 command line editor: http://freecode.com/projects/id3 - mp3gain command line volume normalizer: http://mp3gain.sourceforge.net/ How to use: - run script under python 3.2 or higher version - *.pdf and *.mp3 files will be located in new created directory named like bbc_learn_[Year]_[Month]_[Day]
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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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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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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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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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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 available both for Python >=2.6 and Python 3.X. -
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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
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pynvaders
Invaders like game, written in Python with Curses... :)
Invaders like game, written in Python with Curses... :) Also, this was a learning project for me to Python language. -
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INI-ML
Collection of Machine Learning code from the INI
The idea is to get some working demos up there (in matlab/python/whatever) that people can use as a start for machine learning / simulation projects. -
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A learning-by-testing program to learn quickly, mostly memorizing tasks like vocabulary. Quizdrill supports multiple choice, simple quiz as well as flashcard testing.
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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.
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SuStorID is an advanced Intrusion Detection System (IDS) for web services, based on machine learning. Its name comes from the term “Su Stori”, which in Sardinian language means “The Falcon”. It’s version is experimental, but demonstrates a number of interesting features, that can be readily exploited to detect and act against web attacks. SuStorID can be coupled with modsecurity, the well known web application firewall, to gather training data and provide for real-time counteractions. So,...
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Colony
An ant simulation game involving user interaction.
Colony is an opensource two-dimensional game developed in Python and Pygame as an educational learning experience by Jonathan Redeker. Ants spawn and live in their colony breeding, feeding, and hoping they will not die of disease. The user plays as a god destroying their colony with different skills depicted by their "player points". Colony is compiled with PyInstaller and the music and sound effects were created by lunarfox (http://www.facebook.com/lunarfox, http://soundcloud.com/lunarfox) -
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This project provides a framework for testing and comparing different machine learning algorithms (particularly reinforcement learning methods) in different scenarios. Its intended area of application is in research and education.
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The intention of this project is to give all serious users of the SNNS a place where they find a bugfix and patch management and where they get useful information about the SNNS.
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eFlashcard is a flexible program designed for the purposes of enhancing vocabulary learning by making it more interactive. "Flashcards" can be custom-written and organized into sets. Sets can be combined to make groupings. Build your library today!
