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45 followers · 43 following

Achievements

Achievement: Starstruckx2Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@predict-idlab

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jvdd/README.md

Hi there 👋

I like to solve problems with code 🖥️🤖💥. Among other things :)

Skills

  • Programming: Python, Rust, Java, SQL, ...
  • Data Science: Data Analysis, Data Wrangling, Machine Learning, ...
  • Software Engineering: Design, Development, Testing, ...
  • DevOps: CI/CD, Git, Linux, ssh, ...

Projects I (co)created

  • plotly-resampler: add scalability to the plotly.py toolkit for time series visualization through efficient resampling in the backend.
  • tsflex: provide a flexible and efficient way to process & extract features from time series data.
  • powershap: a scikit-learn compatible feature selector using statistical hypothesis testing and power calculations on Shapley values.
  • argminmax: highly optimized implementation of argmin & argmax (in 1 function) using SIMD instructions and runtime CPU feature detection.
  • tsdownsample: extremely fast time series downsampling for visualization.

Contact

You can find me on Twitter or LinkedIn.

Pinned Loading

  1. predict-idlab/tsflex Public

    Flexible time series feature extraction & processing

    Python 411 26

  2. predict-idlab/plotly-resampler Public

    Visualize large time series data with plotly.py

    Python 1.1k 72

  3. predict-idlab/powershap Public

    A power-full Shapley feature selection method.

    Python 203 20

  4. predict-idlab/tsdownsample Public

    High-performance time series downsampling algorithms for visualization

    Jupyter Notebook 174 17

  5. argminmax Public

    Efficient argmin & argmax

    Rust 62 7

  6. predict-idlab/sleep-linear Public

    Do not sleep on traditional machine learning for sleep stage scoring

    Jupyter Notebook 47 7

387 contributions in the last year

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Activity overview

Contributed to predict-idlab/tsflex, predict-idlab/plotly-resampler, predict-idlab/tsdownsample and 9 other repositories
Loading A graph representing jvdd's contributions from March 10, 2024 to March 10, 2025. The contributions are 89% commits, 7% pull requests, 3% code review, 1% issues. 3% Code review 1% Issues 7% Pull requests 89% Commits

Contribution activity

March 2025

Created 2 commits in 1 repository
Reviewed 3 pull requests in 1 repository
predict-idlab/plotly-resampler 3 pull requests
7 contributions in private repositories Mar 3 – Mar 6
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