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46Package for defining computation graphs and performing intervention experiments
Hackathon project! Bzzzt
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🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🐸 - A general purpose model trainer, as flexible as it gets
Just to generate a gitignore file
Adversarial Data Augmentation for Graph Neural Networks.
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
No description provided.
Multi-Hop Logical Reasoning in Knowledge Graphs
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Codebase for the optional final project of AA228 Autumn 2018.
Anaphor Generation by Finetuning Pretrained Language Models
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Practice web app for wechat mini application
A small package to create visualizations of PyTorch execution graphs
Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"
No description provided.
Create augmentation examples from MultiNLI by subject-object inversion and passivizing.
BERT for Coreference Resolution
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Open Source Neural Machine Translation in PyTorch
Rational Speech Acts model for informative automatic text summarization, part of research project at CSLI 2019 summer internship at Stanford University
Probabilistic model of informativity to improve translation quality
Bayesian pragmatic models implemented in Python
Tutorial on how to run cognitive science experiments on the Amazon Mechanical Turk platform.