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ddi_ontology_nlp

Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.

deep-align

This repository contains our implementation of the ontology matching framework based on representation learning.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-ontology

deep-nlp-resources

Curated list of all NLP Resources

deepgo

Function prediction using a deep ontology-aware classifier

deeplearning-biology

A list of deep learning implementations in biology

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepwalk

DeepWalk - Deep Learning for Graphs

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

discoverswrlrulesfromkb

Extract knowledge from the ontological knowledge base, in the form of SWRL rules.

dl-learner

A tool for supervised Machine Learning in OWL and Description Logics

dl2vec

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

eccb-tutorial

Materials for the ECCB Tutorial on learning with structured data

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

eqnet

Code related to "Learning Continuous Semantic Representations of Symbolic Expressions" project.

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

examples

Examples from knowledge graphs tutorial paper

expert-systems-examples

Examples of expert system applications based on Ontology and Rules KB

fact-check-corona

I'm a WhatsApp bot – send me a WhatsApp forward on COVID-19; I'll tell you if it's fake news.

fake-news-foe

This project will teach you how we can use Twilio and TensorFlow to build a whatsapp based service which can predict if a given news article is fake or not!

fakenews_pybot

A Python Bot that tracks fake news on social media. Early Version which is meant to be built upon.

fakenewscorpus

A dataset of millions of news articles scraped from a curated list of data sources.

fakenewsdetectionfr

Detect French Fake News by camenBERT model

faldo

Feature Annotation Location Description Ontology

fastontotext

Learning ontology class representations in text

fkg-mini-project

Machine Learning (ML) algorithms need data in the form of feature vectors and class labels to come up with a trained model and predict new instances with that trained model. Data stored in Knowledge Graph(s) (KG) is in the form of triples. To apply ML algorithms on KG, we need to convert the individuals in the learning problem into feature vectors. One way to tackle this task is to use KG embedding.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

fol-spl

This repository hosts the material for the paper Classifying and Resolving Software Product Line Redundancies using an Ontological First-Order Logic Rule based Method