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aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

awesome-deepfakes-materials

A curated list of awesome Deepfakes materials

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bert-experiments

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

ecco

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

explainability-for-large-language-models

guided-feature-inversion

PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion

lightning-text-classification

Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.

prollm

We propose Protein Chain of Thought (ProCoT), which replicates the biological mechanism of signaling pathways as natural language prompts. ProCoT considers a signaling pathway as a protein reasoning process, which starts from upstream proteins and passes through several intermediate proteins to transmit biological signals to downstream proteins.

reat

PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

rnf-fairness

PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization