Educational notebooks that demystify Large Language Models and Computer Vision. We build everything from scratch — from a simple bigram language model to RNNs, LSTMs, Attention, Transformers, CNNs, and Diffusion models (DDPM) — using pure Python and PyTorch. No hype. Just code.

Repository with working examples using the Planet API for imagery, vegetation indices, and Planetary Variables (Soil Moisture, Biomass, etc.)

PCA + Information Theory for Business: A Practical Mini‑Tutorial

Java ONNX Embedding & Retrieval-Augmented Generation (RAG) Engine