probberechts's Stars
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
python-poetry/poetry
Python packaging and dependency management made easy
shap/shap
A game theoretic approach to explain the output of any machine learning model.
pyenv/pyenv-virtualenv
a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
databricks/koalas
Koalas: pandas API on Apache Spark
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
statsbomb/open-data
Free football data from StatsBomb
olgabot/prettyplotlib
Painlessly create beautiful matplotlib plots.
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
devinpleuler/analytics-handbook
Getting started with soccer analytics
wannesm/dtaidistance
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
ML-KULeuven/socceraction
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
statsbomb/statsbombpy
Easily stream StatsBomb data into Python
PySport/kloppy
kloppy: standardizing soccer tracking- and event data
wearepal/data-science-types
Mypy stubs, i.e., type information, for numpy, pandas and matplotlib
ML-KULeuven/soccer_xg
A Python package for training and analyzing expected goals (xG) models in soccer.
soccer-analytics-research/fot-valuing-actions
Friends of Tracking: Tutorial on valuing actions in football.
JanVanHaaren/soccer-analytics-resources
Collection of references, datasets and software libraries for soccer analytics.
ML-KULeuven/soccermix
SoccerMix is a soft clustering technique based on mixture models that decomposes event stream data into a number of prototypical actions of a specific type, location, and direction.
arnedb/tsfuse
Python package for automatically constructing features from multiple time series
ML-KULeuven/SAR-PU
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
skoval/courtvisionr
R package functions for accessing court vision stats from grand slam websites
laudv/veritas
Versatile Verification of Tree Ensembles
Lorenzo-Perini/Active_PU_Learning
Class Prior Estimation in Active Positive and Unlabeled Learning
larsvancutsem/piratings
mirror for the R package "piratings" https://cran.r-project.org/web/packages/piratings/index.html, calculate dynamic performance ratings for association football teams based on the paper of Constantinou and Fenton which can be found [here] (http://www.constantinou.info/downloads/papers/pi-ratings.pdf)
afonasev/cookiecutter-pypackage-poetry
The cookicutter template of a python package with poetry, travis, etc.
ML-KULeuven/the_apples_game
Multi-Agent Learning assignment, Machine Learning Project @ KU Leuven
probberechts/muscleKit
:muscle: A set of Python scripts to analyze immunofluorescent muscle cross-sections.