🌊 Online machine learning in Python
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🌊 Online machine learning in Python
QuadriFlow: A Scalable and Robust Method for Quadrangulation
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
The public release of the Babel2 framework, a framework for Fluid Construction Grammar, multi-agent experiments and Incremental Recruitment Language.