Quentin Barthélemy

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

Python package for permutation tests, for statistics and machine learning.

Python package for good old fashioned perimeter intrusion detection systems for video protection.

POT : Python Optimal Transport

Computations and statistics on manifolds with geometric structures.

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

Library for statistics in simple C++, for different sequence containers of different numeric data types.

Benchmark repository for Approximate Joint Diagonalization (AJD)

Python package for spectral analyses, looking at sampling rate conversion, spectral rescaling and peak detection.

Mother of All BCI Benchmarks

Code for Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

Open Source Computer Vision Library

The fundamental package for scientific computing with Python.

A library for machine learning and quantum programming for signals based on pyRiemann and Qiskit projects.

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

scikit-learn: machine learning in Python

SciPy library main repository