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Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️

  • cpython
  • epoll
  • fast-api
  • flask

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 modular Linux telemetry engine built with eBPF, libbpf CO-RE, and Modern C++ that captures kernel-level process, file, syscall, and network events through a portable event-processing pipeline for decoding, enrichment, filtering, and structured output—forming the foundation for higher-level runtime intelligence.