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.. image:: logo.png :width: 730 :alt: Geomstats logo
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.
A Julia machine learning framework
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-
pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry.
The main features of pyriemann/pyriemann are: Machine Learning Frameworks, Geometric Software Libraries, Python Toolboxes.
Projects with overlapping indexed features include: geomstats/geomstats — .. image:: logo.png :width: 730 :alt: Geomstats logo. 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…