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DALL-E Mini Explained - ML Coding Series

Aleksa Gordić - The AI Epiphany via YouTube

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Overview

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This course explains DALL-E mini through its VQGAN and BART components, then walks through a minimal PyTorch implementation. It covers tokenization, encoding and decoding, autoregressive image generation, sampling, and image reconstruction.

Syllabus

Intro
VQGAN overview
Conditioning in VQGAN
BART transformer
DALL-E 1 overview
DALL-E mini Weights & Biases report
[code] min-dalle
Text tokenizer
BART encoder
GLU explained paper + code
BART decoder
Image latent vector autoregressive generation
Super conditioning, top-k sampling
VQGAN decoder
Outro

Taught by

Aleksa Gordić - The AI Epiphany

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