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Learning
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Learning
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arthurdouillard/README.md

Bonjour ! I'm arthur, a French coder / researcher / teacher / foodie.

  1. Most of the code I did during my PhD is available publicly on this github account.

  2. I do research in Continual Learning at DeepMind, where I aim to train large neural networks on continually growing amount of tasks. You can see my work on my Google Scholar page. Don't hesitate to contact me to chat about that.

  3. I'm the author of a free course on Deep Learning for Computer Vision --> Deepcourse You'll learn from the basics (backprop) to the latest research done in a wide variety of domains. Each topic has lessons, coding exercices (with hidden solutions), and Anki flashcards.

  4. I'm french, of course I'm a foodie.

Pinned

  1. dytox dytox Public

    Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

    Python 134 20

  2. incremental_learning.pytorch incremental_learning.pytorch Public

    A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

    Python 371 58

  3. CVPR2021_PLOP CVPR2021_PLOP Public

    Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

    Python 138 23

  4. Continvvm/continuum Continvvm/continuum Public

    A clean and simple data loading library for Continual Learning

    Python 400 44

  5. deepcourse deepcourse Public

    Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

    Jupyter Notebook 132 18

  6. google-deepmind/dm_nevis google-deepmind/dm_nevis Public

    NEVIS'22: Benchmarking the next generation of never-ending learners

    Python 94 4