asep-fajar-firmansyah Goto Github PK

flair

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

gae

Implementation of Graph Auto-Encoders in TensorFlow

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

google-research

Google AI Research

graph-based-nn

Graph Convolutional Networks (GCNs)

graph-summarization

graph-summarization-of-rdf

Repo for Graph Summarization research project. Refactoring/Extending prototype project.

graph4code

Respository for project creating a knowledge graph based on WALA code analysis and extraction of documentation and forum content.

indonesia-ner

Named Entity Recoginition for Bahasa Indonesia

indosum

infersent

Sentence embeddings (InferSent) and training code for NLI.

irama

kb-reasoning-data

The FB15k and NELL-995 Dataset for paper "Variational Knowledge Graph Reasoning"

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-tcn

Keras Temporal Convolutional Network.

keras-text-summarization

Text summarization using seq2seq in Keras

kgcn

A tensorflow implementation of Knowledge Graph Convolutional Networks

lexrank

Text summarization

literale

Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs

lstm_lyrics

LSTM text generation by word. Used to generate lyrics from a corpus of a music genre.

memgcn

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)

models

Models and examples built with TensorFlow

mpsum

Source code for paper: "MPSUM: Predicate-Based Matching for RDF Triples with Application to LDA"

multi-document-summarization

Neural Network based MDS

multilingual-nmt

namas

Neural Attention Model for Abstractive Summarization

nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark