Search Results for "deep learning with python" - Page 37
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Showing 1028 open source projects for "deep learning with python"
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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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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.
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A cross-platform, open source software toolkit for authoring, managing and delivering e-learning via computer or the Internet.
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The goal of this project is to create a Python implementation of standard Riichi Mahjong. Code shall be properly documented and serve as a learning tool for other developers.
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Is a next generation Learning Managment System (LMS) that acts as a Web Service. It imports a SCORM package and exposes SCOs through URIs using the SoC principle.
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Collection of simple expandable C# (.net 2.0) learning tools for children and handicaped people. The package includes example pictures from openclipart and german spoken sounds for spelling. .NET 2.0 or higher NEEDED! Working on a nicer/enhanced vers
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NiMC provides an Instant Messaging server and client that runs on a custom protocol that is implemented in python. The project was written as a learning experiment by its author, to get experience with TCP/IP. Great example of how to do TCP/IP wrong
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Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free. It may also be used for other artistic and scientific areas.
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Strum aims to improve your musical skills on stringed instruments; learning scales, chord construction, and how to find them on various instruments with many tunings.
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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
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Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
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Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.
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Lllg is an idea of having fun in a game while learning a new language. This is written in python using pygame because python is an awesome language :D
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Onyx is for rapid prototyping and large-scale experimentation on advanced machine-learning algorithms with an emphasis on algorithms for online or streaming analysis, modeling, and classification.
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Simple program that helps in learning the Highway Code of Hungary called KRESZ. Written in Python, uses wxPython, runs on every platform that supports Python and wx.
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Voles aids the learning of vocabulary in a foreign language. Items for study are entered by the user and stored in a multi-modal 'dictionary'. Voles then presents the items to the user in the form of a weighted, randomized quiz.
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Igino Corona and Davide Ariu and Giorgio Giacinto, "HMM-Web: a framework for the detection of attacks against Web applications", IEEE ICC 2009. Anomaly detection of server-side web attacks based on Hidden Markov Models (unsupervised learning).
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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.
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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.
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This flashcard application can be used as a learning aid for vocabularies, sentences and any kind of data in a question and answer format. It is aimed to run on all PyGTK platforms like desktops, laptops and especially hand held devices.
