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Your personal EQ coach. Build social skills and learn to handle conflict through realistic role-play and personalized feedback.

  • ai-in-education
  • communication-skills
  • conflict-resolution
  • llm

Graphics32 is a graphics library for Delphi and Lazarus. Optimized for 32-bit pixel formats, it provides fast operations with pixels and graphic primitives. In most cases Graphics32 considerably outperforms the standard TBitmap/TCanvas methods.

CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

  • pascal
  • lazarus
  • delphi
  • free-pascal

This repository contains a subset of pointers to solutions with editorials and notes to my trainees (ACM ICPC, OJs, IOI, POI, CEOI, JOI, etc). For IOI/OI, I organized what I found on the web from official solutions and materials.

QCTools (Quality Control Tools for Video Preservation) is a free and open source software tool that helps users analyze and understand their digitized video files through use of audiovisual analytics and filtering. QCTools is funded by the National Endowment for the Humanities and the Knight Foundation, and is developed by the Bay Area Video Coalition.

  • video
  • preservation
  • quality-control

HIBA is a system built on top of regular OpenSSH certificate-based authentication that allows to manage flexible authorization of principals on pools of target hosts without the need to push customized authorized_users files periodically.

Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.

ZMarkupParser is a pure-Swift library that helps you convert HTML strings into NSAttributedString with customized styles and tags.

  • html-renderer
  • nsattributedstring
  • uikit
  • uilabel

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.