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A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent...
An async Python library to automate solving ReCAPTCHA v2 by images/audio using Mozilla's DeepSpeech, PocketSphinx, Microsoft Azure’s, Google Speech and Amazon's Transcribe Speech-to-Text API. Also image recognition to detect the object suggested in the captcha. Built with Pyppeteer for Chrome automation framework and similarities to Puppeteer, PyDub for easily converting MP3 files into WAV, aiohttp for async minimalistic web-server, and Python’s built-in AsyncIO for convenience.
Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application.
...S-Match applies as a solution in many fields, including: information integration, ontology evolution and alignment, peer-to-peer information sharing, digital libraries integration, web service composition, agent communication, and query answering on the web.
S-Match is extendable to host new algorithms.
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dwos is a distribute WEB-desktop OS and scientific computing platform
dwos is a distribute WEB-desktop OS. It mainly contains a WEB desktop environment, a chat-online system, a network disk system, a Scientific Computing platform(developing) and so on. It is developed by JAVA language using the JSH(JSF+Spring+Hibernate) framework. After about half year testing, now it's open source, you can download it and run on your computer, Tomcat and jetty server container are tested ok.
MarcXimiL is a flexible multi-platform bibliographic similarity analysis framework. Features: deduplication, information monitoring, visual analysis, plagiarism detection. Supported: MARCXML, OAI-PMH2 harvesting, and importation of text MARC.
Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.