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Implementation of research papers on Deep Learning+ NLP+ CV in Python
Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning.
Genomic Region Archiving and Binding Sites Analysis (BiSA)
BiSA is a bioinformatics database resource that allows investigators to run a number of overlapping genomic region analyses using their own datasets, or against the pre-loaded KnowledgeBase. Analysis results can be restricted to a chromosome; the minimum base pair overlap in two sets or maximum distance between regions can be set; as can the maximum allowed distance between region centres. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are nearby; regions that are not overlapping; average region sizes. ...
OpenCyc is the open source version of the Cyc(r) technology, the world's largest and most complete general knowledgebase and reasoning engine. A new release with even more content, better performance, and improved reliability will be up shortly.
Both forward-chaining and backward-chaining rules (which may include python code) are compiled into python. Can also automatically assemble python programs out of python functions which are attached to backward-chaining rules. See pyke.sourceforge.ne
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*nts* provides a simple format for using text files to store notes, a command line interface for viewing notes in a variety of convenient ways and a cross-platform, wx(python)-based GUI for creating and modifying notes as well as viewing them.
A knowledgebase engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
KML is a knowledgebase with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
SemanText demonstrates how topic maps can be used to represent knowledge in the form of semantic networks. New information is added to the knowledgebase thru the GUI or by defining rules which allow the tool to infer new knowledge.