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mariomeissner/README.md

Hello!

I'm a Machine Learning researcher and engineer, currently working on Natural Language Processing as a master's student at the University of Tokyo.

Specifically, I'm exploring the shortcut-learning behavior of transformer models, and finding better debiasing techniques to help models avoid spurious correlations in the data. Feel free to visit my blog or have a look at some of my repositories!

✨ If you're struggling to keep your huggingface experiment code organized, try using my opinionated lightning-hydra template! I adapted it from the popular template by ashleve. The most important change is the added support for HuggingFace transformers. Life made easy! Find it below.

Pinned

  1. lightning-hydra-transformers Public template

    Forked from ashleve/lightning-hydra-template

    My take on how you should organize your transformer experiments.

    Python 4

  2. AmbiNLI Public

    This is the code for the paper "Embracing Ambiguity: Shifting the Training Target of NLI Models".

    Jupyter Notebook 3

  3. mariomeissner.github.io Public

    My personal blog!

    Jupyter Notebook

  4. unet-segmentation Public

    A convolutional neural network similar to U-Net (https://arxiv.org/abs/1505.04597) for medical image segmentation.

    Jupyter Notebook 2

  5. moodle-log-parser Public

    Parsing your Moodle logs, and leaving them ready for data mining!

    Jupyter Notebook

  6. deep_turing_ocr Public

    A deep neural network for performing OCR on handwritten Turing Machine definitions.

    Jupyter Notebook 1

196 contributions in the last year

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Activity overview
Contributed to mariomeissner/dotfiles, mariomeissner/AmbiNLI, PyTorchLightning/lightning-transformers and 10 other repositories

Contribution activity

May 2022

Started 1 discussion in 1 repository
3 contributions in private repositories May 7 – May 15

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