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Unofficial static recompilation of the Xbox 360 version of Need for Speed: Most Wanted (2005): a native port for Steam Deck, Steam Machine, Steam Frame, Linux and Mac (iPhone/iPad: sideload the experimental IPA or build it yourself). Bring your own disc: no game files included. Not affiliated with EA or Valve.

An unordered C++ data container providing fast iteration/insertion/erasure while maintaining pointer/iterator validity to non-erased elements regardless of insertions/erasures. Provides higher-performance than std:: library containers for high-modification scenarios with unordered data.

A fully non-destructive photo retouching program providing a complete layer-based workflow including RAW image development.

Very fast, high-quality hash function, discrete-incremental and streamed hashing-capable (non-cryptographic, header-only C/C++) 27GB/s + PRNG

TranslatedAn open-source HarmonyOS PC application project. A Qt + OpenHarmony / HarmonyOS PC project for reading, editing, and converting the format of documents, integrating ArkTS, the CEF browser engine, PDFium, and Python HNP. It already supports dual-pane PDF/Markdown preview, synchronized scrolling, PDF-to-Markdown conversion, and restoring the most recent workspace; planned features include Word document preview and editing, PDF editing, Markdown editing, OCR text recognition, and batch conversion between multiple formats. The source code is public, for learning, exchange, and teaching reference. Issues are welcome, and you can contribute code through PRs to help improve document tools for HarmonyOS PC together. The project's own code is licensed under PolyForm Noncommercial 1.0.0.

  • arkts
  • cef
  • chromium
  • educational

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.

Modern, Async, Non-Blocking, zero-dependency C++20 RFC 6455 Compliant WebSocket client & server, cross-platform, single-header, WS/WSS support.

A sort wrapper enabling both use of random-access sorting on non-random access containers, and increased performance for the sorting of large types.

  • sort
  • sorting