A project generator for creating frontend applications
CLI benchmark for measuring and mitigating sycophancy in LLMs. Supports multi-provider execution, configurable judges, and long-running evaluation campaigns.
javascript implementation of Dunning's T-Digest for streaming quantile approximation
A module for learning mahout
JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. Mahout is a superior machine learning library written in Java. It deals with recommendations, clustering and classification machine learning problems at scale. Until now it was difficult to use it in Ruby projects. You'd have to implement Java interfaces in Jruby yourself, which is not quick especially if you just started exploring the world of machine learning.
Provision, backup, restore, and monitor remote PostgreSQL over SSH
Parses Mahout files read by other file input plugins.
This one is responsible of interactions with mahout
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