Dustin Wright's repositories
lorentz_embeddings_recreation
A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)
cnn-vrnn-polyphonic-music-generation
Variational recurrent autoencoder for polyphonic music generation.
awesome-neural-adaptation-in-NLP
Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
carbontracker
Track and predict the energy consumption and carbon footprint of training deep learning models.
dwright37.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Fast-Dawid-Skene
Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018
generative-concatenative-image-captioner
Codebase for generative concatenative image captioner project
Google_Refexp_toolbox
The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283
JThinkFreedom
JThinkFreedom is a framework for mapping behaviors (detected through any source, from camera to audio, to EEG) to reactions (e.g., from a computer click to... pulling a lever).
mrsandeshbhat.github.io
Forked from academicpages.github.io
node-vgmusic-downloader
Node.js tool for downloading all free MIDI files on VGMusic.com
ParagraphJointModel
Implementation of the AAAI-21 Workshop on Scientific Document Understanding paper "A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification".
phylogenetic-autoencoder
Autoencoder for learning a representation of the phylogenetic tree
pytorch-cnn-text-classification
Pytorch implementation of the model from the paper "Character-level Convolutional Networks for Text Classification" (Zhang et al., 2015)
pytorch-lr-finder
A learning rate range test implementation in PyTorch
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
trope-reports
Reports of the Tropes for the paper "Revealing Fine-Grained Values and Opinions in Large Language Models"