by @guiga-zalu
- 👯 I’m looking to become a frequent content creator
- 🥅
20212023 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!
- Smart Pixelizer is my own lossy image compression algorithm!
- 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
- Simple Shows: a set of HTML/JS/CSS (+ advanced versions) demonstrations for concepts & cool ideas; like
raio
, a atmosferic-to-ground lightning path simlulator!
- Pixlzr is Smart Pixelizer, but working well and in Rust!
- Nanite Reconstructor will be a way to reconstruct, remmend and attach images into a possiblities canvas!
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
- 🗣 Comentou em #1 no repositório guiga-zalu/pixlzr-rust