dmollaaliod's repositories
bioasq8b-public
Public repository for Macquarie University's participation to BioASQ8b
itec874-2019
Contents of ITEC874 "Big Data Technologies", a Masters unit from Macquarie University
bioasq10b-public
Public code for Macquarie University's participation in BioASQ10b
comp348-2018
Resources related to the 2018 offering of COMP348 unit at Macquarie University
bioasq6b-public
Public repository of the code used for BioASQ 6b
comp348-2019
Resources related to the 2019 offering of COMP348 unit at Macquarie University
abstractive_summarizer
Abstractive Text Summarization using Transformer
attention-keras
Attention wrapper for Keras
bioasq-synergy-public
Public repository for Macquarie University's participation to the BioASQ Synergy task
bioasq10-synergy-public
Public code for Macquarie University's contribution to BioASQ 10 Synergy
bioasq9b-public
Public repository for Macquarie University's participation to BioASQ9b
ebmweb-comp3900-2020S2
Adaptation of Ebmweb with deep learning QA
headline-generation
Experiments of headline generation on the CNN Gigaword set
itec874-2018
Material for ITEC874, a Macquarie University masters unit about Big Data.
keras-bert
A simple technique to integrate BERT from tf hub to keras
ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
LTG2018_07
Presentation at LTG seminar July 2018
LTG2019_05
Slides of LTG seminar May 2019
nl4opt-competition
Natural Language for Optimization Modelling
python-web-programming
Course notes for COMP249 Web Technology at Macquarie University
pytorch-mt
MT using Pytorch - code from PyTorch tutorial
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pyunitgrading
PyUnit Grading contains code to auto-mark programming assignments using Unit tests
Slide-Louhi-2018
Slide: Louhi2018 - Supervised ML for Extractive Query Based Summarisation of Biomedical Data
superwelch
Attempts to beat the Welch t-test at its game
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
tutorials
PyTorch tutorials.
work-html
Work HTML pages