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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

Native PC compatibility project for The Order: 1886 (PS4, CUSA00076). Windows launcher, Vulkan graphics. In development: 3D cinematics observed; gameplay validation ongoing. Uses your own dump; no game files included. | Projeto para PC em desenvolvimento; usa seu próprio dump.

MySQL Shell is a command line scriptable shell for MySQL, with support for logical backups, InnoDB Cluster management and more. It supports SQL, JavaScript and Python.

hsolve:电磁仿真大规模非正定厄密特征值求解。Certified shift-invert eigensolver for large sparse Hermitian (indefinite, generalized) eigenproblems from EM simulation: MUMPS LDLᵀ + block Krylov-Schur + Sylvester-inertia completeness certificate.

  • computational-electromagnetics
  • cpp17
  • eigensolver
  • eigenvalues

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.