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"
129affective-attention. Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"
59variational-lstm. PyTorch implementation of Variational LSTM and Monte Carlo dropout.
56transformer-uncertainty. Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.
44awd-lstm-lm. LSTM and QRNN Language Model Toolkit for PyTorch 1.2.0!
20language. Shared repository for open-sourced projects from the Google AI Language team.
6ntua-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 :)
4sha-rnn. Single Headed Attention RNN - "Stop thinking with your head"
4transformers. 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
4Active-NLP. Bayesian Deep Active Learning for Natural Language Processing Tasks
4dadcworkshop.github.io. HTML
4book_club. ML Book Club
4al-folio. A beautiful, simple, clean, and responsive Jekyll theme for academics
4alps. Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".
4controlled-text-generation. Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"
4reading_group.
3