Top 8 Learning Sources for Understanding Diffusion Models
NVIDIA's blog
compares diffusion models to GANs, explaining their operation.
Assembly AI
: Unveils DALL-E 2, guides Python-based diffusion model creation.
Yannic Kilcher's
video dissects OpenAI's diffusion model research with examples.
HuggingFace's
course: Theory, training, pipelines for diffusion models - Python, PyTorch basics needed.
Lilian Weng's GitHub paper
: Diffusion models vs. others, mathematical insight for ML enthusiasts.
Ayan Das' blog
: Origins, use cases, math behind diffusion models, ties to score-based generative models.
Yang Song's blog
: Diffusion models' rise due to denoising, pivotal in generative AI evolution.
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