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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.

LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.

  • agent-evaluation
  • evaluation-framework
  • evaluation-metrics
  • java

Elixir library to log custom application metrics, in a well-structured, human and machine readable format, for use by downstream log processing systems (Librato, Reimann, etc...)

ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.

  • stitching
  • microscopy
  • microscopy-images
  • fluorescence-microscopy-imaging

This project is no longer maintained. Influx-capacitor collects metrics from windows machines using Performance Counters. Data is sent to influxDB to be viewable by grafana.

Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.

  • alphafold3
  • docking
  • drug-design
  • drug-discovery