esokolov/ml-course-hse

This repository is a collection of HSE machine-learning course materials and practical assignment implementations, rather than a single application. The learner-facing workflow is to study course resources, work through practical exercises, and use the resulting model outputs or evaluation metrics. The tree shows practical code across several course years; the README documents lecture notes, seminars, theoretical homework, and competitions, but their contents are not sampled here. Arrows between independent assignments are omitted; the VGG image-preparation and inference relationship is visible in the sampled source.