VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models

Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotlight)

Tabular Deep Learning Library for PyTorch

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

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Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

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