Sign in

Repository Index

64,764 visible repositories in the index

Tags: All Tags
Tags

A repository shows when it has any selected Tag.

Filters (1)

Filters

Clear all filters

97–120 of 129 · Most stars

open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.

Header-Only C++ Library for Graph Representation and Algorithms

  • search-algorithm
  • dijkstra-algorithm
  • graph
  • graph-algorithms

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

  • arithmetic
  • integer-arithmetic
  • fixed-point-arithmetic
  • rational-arithmetic

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

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.