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2,545–2,568 of 3,427 · Most stars

A Go package for n-gram based text categorization, with support for utf-8 and raw text

With a subtle glass-like blur that melts into the background, Ayaka highlights your workspace without overwhelming it. Vibrant accents breathe life into the dark base, striking a perfect balance of minimalism and color.

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.

Spring data gremlin makes it easier to implement Graph based repositories. This module extends Spring Data to allow support for potentially any Graph database that implements the Tinkerpop Blueprints 2.x API.

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.