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1–24 of 24 · Most stars

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

TranslatedNo ROOT and no Termux needed: run DeepSeek Harness on your phone. Full Ubuntu environment + proroot with zero ptrace overhead · AI output shown on screen in real time · direct ADB connection · no data loss

Java utilities: DeepEquals, Converter, LRUCache, CompactMap/Set, CaseInsensitiveMap, UniqueIdGenerator, FastReader/Writer, and more. Zero dependencies, JDK 8+

An Android AI Agent built on DeepSeek Harness, with Android Use tools, voice and a cat companion.

Anahata ASI - Artificial Super Intelligence - Cross-Platform, Modular, Enterprise Ready, Open Source, Pure Java, AGI and ASI Containers. Context Window Garbage Collector, Stateful Toolkits, Flight Recorder. Autonomous Observable Auditable JVM Agent with JIT java code execution. Anahata ASI SDK, Anahata ASI Desktop, Anahata ASI Studio - NetBeans.

✨ The best JVM observability, troubleshoot, and optimize. 🚀 Unlock deep insights instantly via our dashboard, CLI and Harness. 📊

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

  • kmeans
  • kmeans-clustering
  • clustering
  • gap-statistic