Todor Mihaylov's repositories
overleaf-backup-tool
A script that automatically backups all Overleaf projects to a local folder. It works.
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
CLIP_prefix_caption
Simple image captioning model
comet-commonsense
Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317
CommonSenseMultiHopQA
Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
discourse-aware-semantic-self-attention
Repository for code and data from the EMNLP-IJCNLP 2019 paper "Discourse-aware Semantic Self-Attention for Narrative Reading Comprehension"
exams-qa
A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
LISA
Linguistically-Informed Self-Attention implemented in TensorFlow
natural-instructions
Expanding natural instructions
Neural_DRS
This repository includes the code for neural DRS parsing
OBQA
open book question answering
OpenBookQA-1
Code for experiments on OpenBookQA from the EMNLP 2018 paper "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"
pywsd
Python Implementations of Word Sense Disambiguation (WSD) Technologies.
qa_datasets_converter
Formate converter from one type of qa task datasets to another type
quynh-and-todor
A basic wedding website I created for myself and Bec using the Bulma CSS framework, Particles.js, jQuery.countdown, Google Satisfy Font and FontAwesome icons.
RCPapers
Must-read papers on Machine Reading Comprehension
SentiWordNet
The SentiWordNet sentiment lexicon
serializable-self-attentive-parser
High-accuracy NLP parser with models for 11 languages.
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
text
Data loaders and abstractions for text and NLP
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
