Search Results for "deep learning with python"
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Showing 10 open source projects for "deep learning with python"
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Kaldi
kaldi-asr/kaldi is the official location of the Kaldi project
Kaldi is an open source toolkit for speech recognition research. It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support. Kaldi is designed for researchers who need a highly customizable environment to... -
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BashCore
A custom Debian live ISO with security tools, no GUI, only Bash.
BashCore is a Debian-based live ISO for security pros, networking enthusiasts, and students. Minimalist and GUI-free, it relies entirely on Bash. Lightweight, fast, GPU-ready, and now offering an optional PREEMPT_RT kernel, it provides a fresh environment on every boot, ideal for safe experimentation, learning, and diagnostics. Built with Debian live-build, MIT-licensed, no branding, telemetry, or tracking. Also available: BashCoreX adds XFCE with Firefox, Tor & Mullvad browsers,... -
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Hacker Scripts
Based on a true story
Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the... -
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RegexAssistant
Regex Windows GUI app to help learn, create,& test Regular Expressions
RegexAssistant is a Regex GUI application to help learn, create, and test Regular Expressions. It's an open source stand alone Windows application. RegexAssistant is great for beginners and intermediate-advanced regex users. -It helps beginners to learn regex by providing examples and token cheat-sheet. -Intermediate-advanced users can use RegexAssistant to test complex expressions. -
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Part-of-speech tagging is the task of assigning symbols from a particular set to words in a natural language text. ACOPOST implements and extends well-known machine learning techniques and provides a uniform environment for testing.
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qwpr keylayout and layout translator
A keyboard layout that's worth learning.
Qwpr (pronounced "qwipper", named for the first four keys) is a keyboard layout that's easy to learn (only 11 keys move from their qwerty positions), easy to type (32% better by the Carpalx metric), practical (programmer's punctuation, arrow keys, and all major accented characters easily accessed without moving your hands off the three main rows), and very complete (over 1000 unicode characters and combinations available). The project also includes the tools I used to translate this... -
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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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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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A tool kit to cause problems on a Linux machine for the purpose of gaining professional experience trouble-shooting issues in a controlled manner. This kit is useful in learning how to solve problems before they occur on a production system.
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This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
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