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Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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pietrolesci/README.md

Hi!

I am Pietro Lesci, a PhD student in Computer Science at the University of Cambridge with a background in econometrics. Broadly, I am interested in Natural Language Processing and Machine Learning. I am passionate about the science of language models: developing methods—also drawing from econometrics—to study the effect of training data on models’ behaviour. Currently, I focus on active learning, data valuation, and memorisation estimation.

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  1. energizer energizer Public

    An active learning library for Pytorch based on Lightning-Fabric.

    Python 79 12

  2. anchoral anchoral Public

    This is the official PyTorch implementation for our NAACL 2024 paper: "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets".

    Python 20 1

  3. memorisation-profiles memorisation-profiles Public

    This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".

    Python 17

  4. MilaNLProc/wordify-webapp-streamlit MilaNLProc/wordify-webapp-streamlit Public

    New version of Wordify based on Streamlit

    Python 3 2