Deep learning tutorials, ML engineering insights, and practical guides on transformers, diffusion models, and edge AI.
Field notes on machine learning
The Overfitting Club
Tutorials you can actually run, paper walk-throughs, and occasional op-eds about the industry. Written in the margins by Miguel Chitiva Diaz — with calm, drama-free MLOps.
p.s. — GPUs don’t grow on trees (tragic)
§ The Corkboard
Pinned to the corkboard
Drafts, experiments, half-thoughts. Filter by section, or by tag within.
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The Diffusion Paradigm
diffusion
ddpm
deep-learning
generative-models
Class-Conditional VAE
deep-learning
vae
generative-models
pytorch
Autoencoder Architecture
deep-learning
autoencoder
vae
pytorch
Multivariate Regression
time-series
tensorflow
machine-learning
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— thanks for reading
