Christos Aridas

Python module to perform under sampling and over sampling with various techniques.

A Python package that implements the Dagging ensemble method for classification and regression

Classification by Voting Feature Intervals in Python

A repository to help organize meetings and collect ideas, results, etc

No description.

Celery task queue used in DVC

Accompanying the 5-class, 1 class per week series of Ultimate Rust: Foundations

the scikit-learn sidekick

Python microframework for modular monoliths and loosely coupled apps

A Python handler for mkdocstrings.

No description.

🧬 The data structure for unstructured multimodal data · Neural Search · Vector Search · Document Store

Machine learning on dirty tabular data

A library for event sourcing in Python.

A Python toolbox for performing gradient-free optimization

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.

Mediator implementation for python 3.6+ (version >=1.2<1.3 for python 3.5), that supports pipline behaviors, async executing

Redirect the rtd docs of imbalanced-learn

scikit-learn: machine learning in Python

Python dependency injection

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

GitLab Runner (Docker image) for ARM devices

:custard: Online machine learning in Python

A curated list of awesome papers and open source libraries to perform multiple statistical comparisons among a pool of algorithms or methods

Easy-to-run example notebooks for Dask

The stream-learn is an open-source Python library for difficult data stream analysis.

Data Analysis Baseline Library

Robust and reusable Executor for joblib

scikit-learn contrib estimators

Python Meta-Feature Extractor package.

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

A modular active learning framework for Python3

Make your functions return something meaningful, typed, and safe!

Computing with Python functions.

Python module for machine learning time series:

A Python library for dynamic classifier and ensemble selection

Large-scale linear classification, regression and ranking in Python

Open Machine Learning

Pythonic task management & command execution.

Website for the autism RAMP

Parallel computing with task scheduling

Pool-based active learning in Python

Distributed computation in Python

jMetal user manual

No description.