Tag: #vae

Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 2 posts

Probabilistic Machine Learning & Bayesian Methods: From Bayesian Inference to Gaussian Processes and Uncertainty Quantification
A comprehensive guide to probabilistic ML covering Bayesian inference, posterior distributions, MCMC, variational inference, Gaussian processes, and uncertainty quantification with MC Dropout.
2026-03-17 · 13 min read #bayesianml #probabilisticml #gaussianprocess #pymc #uncertaintyquantification
Generative AI Complete Guide: Master GANs, VAEs, and Diffusion Models
A complete guide to mastering the core architectures of generative AI. Understand VAE, GAN, DDPM diffusion models, and Stable Diffusion from the ground up with mathematical derivations and complete PyTorch implementation
2026-03-17 · 22 min read #generative-ai #gan #vae #diffusion-model #stable-diffusion

Probabilistic Machine Learning & Bayesian Methods: From Bayesian Inference to Gaussian Processes and Uncertainty Quantification