by @guiga-zalu

• 👯 I’m looking to become a frequent content creator
• 🥅 2021 2023 Goals: Start really developing my YouTube channel
• ⚡ What I like: Solve mathematical problems, represent visually concepts and develop code as if it'd become a full library
• 🔭 Looking forward to whichiever there is to be learnt!

1. Smart Pixelizer is my own lossy image compression algorithm!
2. DeepJS will, in the future, be a (totally in JavaScript) generic deep learning library! Today, it can realize:
   • N-dimensional tensor representation as one array-like variable
   • N-dimensional convolution & pooling, with a (a, b, c, ...)-shaped tensor to a (z, y, x, ...)-shaped one
3. Simple Shows: a set of HTML/JS/CSS (+ advanced versions) demonstrations for concepts & cool ideas; like raio, a atmosferic-to-ground lightning path simlulator!

1. Pixlzr is Smart Pixelizer, but working well and in Rust!
2. Nanite Reconstructor will be a way to reconstruct, remmend and attach images into a possiblities canvas!

(Not there yet)

DAX

M

Agora, estudando Rust!

(Some programming videos, in the [far] future)

• Bad Pixel : Bad Apple through Pixlzr
• Demo test - Pixlzr - quadtree: multiplier
• Demo test - Pixlzr - full quadtree: multiplier
• Smart Pixelizer - Compressing test
• Resultado: Vídeo-memorial às mortes causadas pela COVID-19 no Brasil - Versão 3 Avermelhada

1. ❗️ Opened : questão #1 no repositório RCcola1987/Archival-Preservation