Christos Aridas's repositories
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
awesome-statistical-comparisons
A curated list of awesome papers and open source libraries to perform multiple statistical comparisons among a pool of algorithms or methods
dask-examples
Easy-to-run example notebooks for Dask
dirty_cat
Machine learning on dirty tabular data
docarray
🧬 The data structure for unstructured multimodal data · Neural Search · Vector Search · Document Store
dvc-task
Celery task queue used in DVC
eventsourcing
A library for event sourcing in Python.
framework
MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.
gitlab-runner
GitLab Runner (Docker image) for ARM devices
imbalanced-learn-redirect
Redirect the rtd docs of imbalanced-learn
mediatr_py
Mediator implementation for python 3.6+ (version >=1.2<1.3 for python 3.5), that supports pipline behaviors, async executing
nevergrad
A Python toolbox for performing gradient-free optimization
python-inject
Python dependency injection
scikit-learn
scikit-learn: machine learning in Python
scikit-learn-extra
scikit-learn contrib estimators
stream-learn
The stream-learn is an open-source Python library for difficult data stream analysis.