Sebastian Gehrmann

Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"

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Personal Website

Config files for my GitHub profile.

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This repository provides scripts to train an LSTM and then extract states from it in Tensorflow.

Continuous-time Markov model with discrete observations

A scraper that downloads search results from DBLP.

This repository contains data and code for the paper"Comparing deep learning and concept extraction based methods for patient phenotyping".

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

Beyond the Imitation Game collaborative benchmark for enormous language models

summarization baselines and their ROUGE scores

Code for AAAI 2019 paper on Data-to-Text Generation with Content Selection and Planning

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

🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

Unsupervised text tokenizer for Neural Network-based text generation.

No description provided.

Remove problematic gender bias from word embeddings.

An open-source NLP research library, built on PyTorch.

Data loaders and abstractions for text and NLP

Sequence-to-sequence model with LSTM encoder/decoders and attention

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Homework 5 in CS287 of Harvard SEAS

Homework 4 in CS287 of Harvard SEAS

based on CharRnn by kaparthy

Homework 3 in CS287 of Harvard SEAS

Homework 2 in CS287 of Harvard SEAS

No description provided.

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