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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.

Arthur Douillard's Projects

hugo-website icon hugo-website

Template that updates the repo https://github.com/arthurdouillard/arthurdouillard.github.io

keras-effnet icon keras-effnet

Implementation in Keras of Effnet (https://arxiv.org/abs/1801.06434)

keras-mobilenet icon keras-mobilenet

Implementation in Keras of MobileNet (https://arxiv.org/abs/1704.04861)

keras-shufflenet icon keras-shufflenet

Implementation in Keras of ShuffleNet (https://arxiv.org/abs/1707.01083)

keras-snapshot_ensembles icon keras-snapshot_ensembles

Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lug icon lug

Flask blog with account system, in-browser editing

mada.pytorch icon mada.pytorch

Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch

moviespopularity icon moviespopularity

An app that rates movies according to its comments, incremental learning is also done.

nalu.pytorch icon nalu.pytorch

Implementation of NALU & NAC (https://arxiv.org/abs/1808.00508 | DeepMind) in PyTorch.

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