asep-fajar-firmansyah Goto Github PK
Name: Asep Fajar Firmansyah
Type: User
Company: DICE-Group
Location: Paderborn, Germany
Name: Asep Fajar Firmansyah
Type: User
Company: DICE-Group
Location: Paderborn, Germany
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Implementation of Graph Auto-Encoders in TensorFlow
Sample Code for Gated Graph Neural Networks
Implementation of Graph Convolutional Networks in TensorFlow
A tutorial on Graph Convolutional Neural Networks
Google AI Research
Graph Convolutional Networks (GCNs)
Repo for Graph Summarization research project. Refactoring/Extending prototype project.
Respository for project creating a knowledge graph based on WALA code analysis and extraction of documentation and forum content.
Named Entity Recoginition for Bahasa Indonesia
Sentence embeddings (InferSent) and training code for NLI.
The FB15k and NELL-995 Dataset for paper "Variational Knowledge Graph Reasoning"
Keras implementation of Graph Convolutional Networks
Keras Temporal Convolutional Network.
Text summarization using seq2seq in Keras
A tensorflow implementation of Knowledge Graph Convolutional Networks
Text summarization
Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs
LSTM text generation by word. Used to generate lyrics from a corpus of a music genre.
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
Models and examples built with TensorFlow
Source code for paper: "MPSUM: Predicate-Based Matching for RDF Triples with Application to LDA"
Neural Network based MDS
Neural Attention Model for Abstractive Summarization
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.