Name: Nilofar Moradifarisar
Type: User
Company: linkedIn:// Nilofar Moradi Farisar
Bio: M.S.c Natural Language Processing-
M.Sc. Mathematics (Computational Semantics)
NLP Researcher, Transformers, Computational Linguistics.
Location: Trier, Germany
Blog: [email protected]
Nilofar Moradifarisar's Projects
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Collection of advice for prospective and current PhD students
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
The Python programming language
Datasets for Knowledge Graph Completion with textual information about the entities
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
This repository introduces RezoJDM16K a French Knowledge Graph Dataset with 53 semantic relations created from RezoJDM. Different graph embeddings have gained from this dataset which are available for semantic link prediction task.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Master Thesis on Graph Neural Networks
TensorFlow implementation of GoogLeNet and Inception for image classification.
GraalVM: Run Programs Faster Anywhere :rocket:
Inductive relation prediction by subgraph reasoning, ICML'20
[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
Some papers on Knowledge Graph Embedding(KGE)
A collection of research on knowledge graphs
Codes and Results of KGRefiner paper.
Modernizr is a JavaScript library that detects HTML5 and CSS3 features in the userβs browser.
This file include my project and practice that I have done in this period.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
An Open-Source Package for Knowledge Embedding (KE)