epapagia Goto Github PK
Type: User
Company: Aristotle University of Thessaloniki
Location: Greece
Type: User
Company: Aristotle University of Thessaloniki
Location: Greece
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
Deep Keyphrase Extraction using BERT
Context-aware Neural Information Retrieval
abstracts of 2 popular datasets for the automatic keyphrase extraction task
Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
Dynamic Word Embeddings for Evolving Semantic Discovery code.
Extended Isolation Forest for Anomaly Detection
Introduction Notebook to Extreme Multi-Label Classification problem (XML)
Implementation of Graph Convolutional Networks in TensorFlow
GloVe model for distributed word representation
Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes
A very simple library for exploiting graph-of-words in NLP
Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"
Graph of words (Networkx) and keywords extraction (Ktruss, Kcore, DivRank, BestCoverage)
####Goals#### * Implement the following clustering algorithms: K-means and Kernel K-means. * Implement the following supervised clustering evaluation metrics: purity and NMI.
Locally Linear Meta Embedding
Empower Sequence Labeling with Task-Aware Language Model
Keyphrase Generation
An implementation of "Pointer Networks" in Tensorflow
GloVe implementation by pytorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data
The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.
Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
Document clustering and topic modelling with Python
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.