Majiga's Projects
Majiga's
Open Machine Learning Course
Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"
source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"
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.
Tutorial: Natural Language Processing in Python
A Tutorial about Programming for Natural Language Processing
A labeled dataset for domain specific named entity recognition
Resources and materials related to PyCon 2017.
Tensorflow Implementation of Recurrent Convolutional Neural Network for Text Classification (AAAI 2015)
My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Experimenting rule mining tools
Python library to compute knowledge graph embeddings
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
An Open Source Machine Learning Framework for Everyone
An implementation of GloVe in TensorFlow
The University of Western Australia's submission to the ICDM 2019 Knowledge Graph Contest.
Instructions & code for the EuroPython 2014 training session "Topic Modeling for Fun and Profit"