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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.
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.
Conventional elearning systems usually have too high requirements for implementations in developing countries. This project is aimed to deal with this limitations adapting conventional e-learning systems to be used in limited resources environments.
NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
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Geographic restrictions, eligibility, and terms apply.
An application for learning languages, specially words. The application includes an automatic teacher which understands which words are most challenging to learn you and focus your learning on these.
This project aims to develop a tool to create DVD, hence the name; PyQtADA: Python and Qt another DVD Author. In linux there are very few tools to perform this functionality with high performance and a low learning curve for users.
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 FPS that I want to turn into a mmo later on when the game gets bigger and better. I'm mainly doing this as a learning tool to see how games are made and what goes into making them. The game is made using Python and Panda 3D.
Spider that recollects data from MySpace Social Network.
At now, it is only designed to extract information from native american people because it is used for a social science study in the UNAM (Universidad Nacional Autónoma de México).
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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.
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.
Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
Python Machine learning library with multi-core support. Wraps existing ML libraries in order to be able to run and analyse experiments with one front-end API. Currently supports MLP, GA, GP, ESN and RBF algorithms.
Pytest is an open source testing and evaluation framework written in Python. It is compliant with IMS Global Learning Consortium, Inc. QTI specification and can be used as a tests editor or as a server for creating a networked testing framework.
"Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
This small python script will generate mp3 and corresponding text files
for learning / training the morse code. It follows the method of Koch for
teaching the characters and the method described in N0HFFs book for improving
the skills even more.
This project is developing a modular framework for constructing machine intelligences. The modular approach allows for both rapid development of simple AI's and also construction of larger and more general learning based engines.
AbDict is practically a "digital exercise-book" for learning new languages. Users can create their own dictionaries and check their knowledge of the words.
A Python class library of tools for learning agents, including reinforcement learning algorithms, function approximators, and vector quantizations algorithms. (Pronounced "plastic".)