Nina Miolane's repositories

geomstats

Computations and statistics on manifolds with geometric structures.

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v221

Proceedings of the 2nd Annual Topology, Algebra, and Geometry in Machine Learning (TAG-ML)

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administrative

Project management related documents for scikit-learn

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awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

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best-of-ml-python

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

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calatrava

A Python code architecture analyzer

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challenge-iclr-2021

GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021

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challenge-iclr-2022

GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021

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compSPI

Computational Single Particle Imager.

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cwn

Message Passing on Simplicial and Cell Complexes

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emg_sign_recognition

Notebooks to show and compare different classifiers of sEMG signal

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equivariant-MLP

A library for programmatically generating equivariant layers through constraint solving

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giotto-tda

A high-performance topological machine learning toolbox in Python

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intro-python-datasci

Intro to Python for Data Science Workshop

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ioSPI

I/O, visualization and methods to compare with other tools

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jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

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move

Articulated objects

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pymanopt

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

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pyRiemann

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

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reduceSPI

data reduction models

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scikit-learn

scikit-learn: machine learning in Python

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scipy_proceedings

Tools used to generate the SciPy conference proceedings

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season-of-docs

Supporting materials for Google's Season of Docs 2021

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sgi-introduction-course

A course for getting started with geometry processing using MATLAB and gptoolbox

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simSPI

differentiable forward models

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sktime

A unified framework for machine learning with time series

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TopoModelX

Topological Deep Learning

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