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EvalML: a library for automated machine learning and model understanding
EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions, it is a library for automated machine learning (AutoML) and model understanding, written in Python
Machine Learning From Scratch
An extensive list of fundamental machine learning models and algorithms from scratch in vanilla Python.
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From our ranking selected Rss
- Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, […]
- Posted by Urs Köster, Software Engineer, Google Research Time series […]
- Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product […]
- Project Manager Email: s.franceschini@digitalsme.eu Sophie Franceschini joined the DIGITAL SME Alliance as a Project Manager, to support the coordination of […] The post Sophie Franceschini joins DIGITAL SME appeared first on European DIGITAL SME Alliance.
- arXiv:2412.05243v1 Announce Type: cross Abstract: How well can Multimodal Large Language Models (MLLMs) understand composite images? Composite images (CIs) are […]
- arXiv:2412.05022v1 Announce Type: cross Abstract: As humanoid service robots are becoming more and more perceptible in public service settings for […]
- arXiv:2412.05154v1 Announce Type: cross Abstract: While 3D object bounding box (bbox) representation has been widely used in autonomous driving perception, […]
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