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geomstats/geomstats

0
View on GitHub↗
1,497 stars·292 forks·Python·MIT·11 viewsgeomstats.ai↗

Geomstats

.. image:: logo.png :width: 730 :alt: Geomstats logo

Features

  • Geometric Deep Learning - Computations and statistics on manifolds and geometric structures.
  • Machine Learning Frameworks - Library for computations and statistics on non-Euclidean manifolds.
  • Geometric Software Libraries - Computation and statistics on manifolds and Riemannian geometry.

Star history

Star history chart for geomstats/geomstatsStar history chart for geomstats/geomstats

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Geomstats

These projects share indexed features with Geomstats. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • pyriemann/pyriemannpyRiemann avatar

    pyRiemann/pyRiemann

    767View on GitHub↗

    pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry.

    Python
    View on GitHub↗767
  • aksnzhy/xlearnaksnzhy avatar

    aksnzhy/xlearn

    3,095View on GitHub↗

    High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

    C++
    View on GitHub↗3,095
  • alan-turing-institute/mlj.jlalan-turing-institute avatar

    alan-turing-institute/MLJ.jl

    1,928View on GitHub↗

    A Julia machine learning framework

    Julia
    View on GitHub↗1,928
  • airbnb/aerosolveairbnb avatar

    airbnb/aerosolve

    4,804View on GitHub↗

    Aerosolve is a machine learning framework designed for training and deploying interpretable models. It functions as a feature engineering tool and a model trainer that utilizes sparse feature modeling to simplify weight debugging and accelerate data iteration. The system includes a specialized domain-specific transformation language for converting raw data families into model-ready representations. It also provides capabilities for visual content analysis by mapping images into dense high-dimensional vector spaces to rank and organize data by style or content. The framework allows for human-

    Scala
    View on GitHub↗4,804
Compare all 30 related projects→

Frequently asked questions

What does geomstats/geomstats do?

.. image:: logo.png :width: 730 :alt: Geomstats logo

What are the main features of geomstats/geomstats?

The main features of geomstats/geomstats are: Geometric Deep Learning, Machine Learning Frameworks, Geometric Software Libraries.

Which projects share features with geomstats/geomstats?

Projects with overlapping indexed features include: pyriemann/pyriemann — pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry. aksnzhy/xlearn — High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization… alan-turing-institute/mlj.jl — A Julia machine learning framework. alejandro-isaza/braincore — The iOS and OS X neural network framework. alexrudall/ruby-openai — OpenAI API + Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible! airbnb/aerosolve — Aerosolve is a machine learning framework designed for training and deploying interpretable models. It functions as a…