Highlights
- Pro
Starred repositories
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Simple and flexible progress bar for Jupyter Notebook and console
Efficient Deep Learning Systems course materials (HSE, YSDA)
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2024/2025.
Short course about self-driving cars
Simple but Flexible Recommendation Engine in PyTorch
The repository contains materials and useful links for the machine learning course at the MTS.Teta summer school.
This repository was created for the code of the study of the stability of neural networks to various distortions within the framework of the thesis of the specialty program.
Research of the stability of neural network methods to various natural distortions of the input image
(RU) Hosts classification - MTS.Teta hackathon project