yarikos

yarik ponomarenko's starred repositories

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

Language:TypeScriptMIT7658300

iina

The modern video player for macOS.

Language:SwiftGPL-3.03705500

dm

Матеріали курсу "Дискретна математика", який читався на кафедрі АСОІУ Київського Політехнічного Інституту з 2006 по 2015 рік (з деякими перервами).

CC-BY-4.011600

mapscii

🗺 MapSCII is a Braille & ASCII world map renderer for your console - enter => telnet mapscii.me <= on Mac (brew install telnet) and Linux, connect with PuTTY on Windows

Language:JavaScriptMIT760600

ga-dev-tools

A showcase of demos and tools built with the various Google Analytics APIs and Libraries.

Language:TypeScriptNOASSERTION137300

TecoGAN

This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

Language:PythonApache-2.0592100

use-deep-compare-effect

🐋 It's react's useEffect hook, except using deep comparison on the inputs, not reference equality

Language:TypeScriptMIT185900

composing.studio

Collaborative music composition for everyone.

Language:TypeScriptMIT52100

es-howto

How to read the ECMAScript specification (ECMA-262)

Language:HTMLNOASSERTION23800

etherealengine

iR Engine - Bringing us together on the open social spatial web. 🤖 🚀 👓 🕹️ 🧑🏿‍🚀

Language:TypeScriptNOASSERTION70200

papers-we-love

Papers from the computer science community to read and discuss.

Language:Shell8507200

probot

🤖 A framework for building GitHub Apps to automate and improve your workflow

Language:TypeScriptISC880500

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Language:Jupyter NotebookNOASSERTION221700