Generating Mini-Protein Trajectories with GROMACS
A practical guide to simulating mini-proteins using GROMACS; from alanine dipeptide to tryptophan systems for ML training data generation.
Tutorial
5 Axes of Multi-Arm Bandit Problems: A Practical Guide
Key dimensions that have helped me understand multi-arm bandit problems: action space, problem structure, external information, reward mechanism, and learner feedback.
Understanding GANs: From Fundamentals to Objective Functions
An in-depth guide to GANs: how two neural networks compete to generate realistic data, the math behind it, and the evolution of objective functions that stabilize training.
Word Embeddings in NLP: An Introduction
Learn how computers understand words through mathematical vectors, from simple counting methods to contextual embeddings that power modern NLP.