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phlippe/README.md

Hi there πŸ‘‹ 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 πŸ€–, but I am also interested in generative modeling πŸŒ€, reinforcement learning πŸ•Ή, AI4Science πŸ§ͺ, and natural language processing πŸ’¬. Besides that, I like teaching πŸ‘¨β€πŸ«. 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.
  • jax_trainer: A small library for providing a Lightning-like API for JAX with Flax. A template research repository based on jax_trainer is shown here.

Research

Pinned

  1. uvadlc_notebooks uvadlc_notebooks Public

    Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

    Jupyter Notebook 2.3k 533

  2. Lightning-AI/tutorials Lightning-AI/tutorials Public

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

    Python 273 74

  3. UvA_Summaries UvA_Summaries Public

    Summaries of courses in the AI Master programme at UvA

    TeX 145 42

  4. ENCO ENCO Public

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

    Python 76 15

  5. CITRIS CITRIS Public

    Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"

    Python 46 6

  6. BISCUIT BISCUIT Public

    Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)

    Python 25 4