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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 […]
- The post Tech Sovereignty Package: Europe starts building tech capacity, with room to strengthen demand for homegrown solutions appeared first on European DIGITAL SME Alliance.
- arXiv:2606.06214v1 Announce Type: cross Abstract: Correctness and readability are key measures of code quality, respectively ensuring functional fidelity and ease […]
- arXiv:2606.04672v2 Announce Type: replace-cross Abstract: Continuous-time dynamic graphs (CTDGs) provide a richer framework to capture fine-grained temporal patterns in evolving […]
- arXiv:2606.06021v1 Announce Type: cross Abstract: On-policy distillation (OPD) supervises the student only in output space by matching next-token probabilities. This […]
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