Python-based implementations of algorithms for learning on imbalanced data.
- data-science
- machine-learning
- imbalanced-data
- notre-dame
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Python-based implementations of algorithms for learning on imbalanced data.
Materials for GWU DNSC 6279 and DNSC 6290.
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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.
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