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phlippe/README.md

Hi there 👋 I’m Phillip, a PhD student in the Qualcomm-UvA lab (QUVA) at the University of Amsterdam supervised by Efstratios Gavves and Taco Cohen. My research focuses on the intersection of causality and machine learning 🤖, but I am also interested in generative modeling 🌀, reinforcement learning 🕹 and natural language processing 💬. Besides that, I like teaching 👨‍🏫. A short guide of my main repositories:

Teaching/Education

  • uvadlc_notebooks: Jupyter notebook tutorials for the Deep Learning course at UvA. They cover basic deep learning topics such as initialization and optimization, to more complex topics including Normalizing Flows, Vision Transformers and Meta Learning. All notebooks executed can be viewed on our RTD website, and are integrated in PyTorch Lightning's documentation.
  • UvA_summaries: A collection of summaries that I wrote during my Master studies of Artificial Intelligence at the University of Amsterdam (2018-2020). Topics cover courses including Machine Learning, Reinforcement Learning, and many more.

Research

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  1. Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021

    Jupyter Notebook 315 107

  2. Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

    Python 97 18

  3. Summaries of courses in the AI Master programme at UvA

    TeX 76 28

  4. Official repository for "Categorical Normalizing Flows via Continuous Transformations"

    Python 42 6

  5. ENCO Public

    Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

    Python 21 3

  6. Repository containing code from team Kingsterdam for the Hateful Memes Challenge

    Python 17 5

245 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri

Contribution activity

December 2021

Opened 1 pull request in 1 repository
PyTorchLightning/lightning-tutorials 1 merged
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