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active-nlp

Bayesian Deep Active Learning for Natural Language Processing Tasks

affective-attention

Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alps

Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch 1.2.0!

book_club

ML Book Club

contrastive-active-learning

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

dadcworkshop.github.io

language

Shared repository for open-sourced projects from the Google AI Language team.

ntua-slp-pytorch-ex-1

First assignment for familiarising yourself with PyTorch. The goal of the assignment is to implement a baseline RNN model for sentiment classification in Twitter messages, by completing the missing parts in the code :)

reading_group

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

transformer-uncertainty

Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

variational-lstm

PyTorch implementation of Variational LSTM and Monte Carlo dropout.