Skip to content
View jvdd's full-sized avatar
🏕️
🏕️

Highlights

  • Pro

Organizations

@predict-idlab

Block or report jvdd

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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 predict-idlab/tsflex Public

    Flexible time series feature extraction & processing

    Python 402 26

  2. predict-idlab/plotly-resampler predict-idlab/plotly-resampler Public

    Visualize large time series data with plotly.py

    Python 1k 68

  3. predict-idlab/powershap predict-idlab/powershap Public

    A power-full Shapley feature selection method.

    Python 201 19

  4. predict-idlab/tsdownsample predict-idlab/tsdownsample Public

    High-performance time series downsampling algorithms for visualization

    Jupyter Notebook 159 16

  5. argminmax argminmax Public

    Efficient argmin & argmax

    Rust 58 5

  6. predict-idlab/sleep-linear predict-idlab/sleep-linear Public

    Do not sleep on traditional machine learning for sleep stage scoring

    Jupyter Notebook 45 7