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berzloy

Textbooks, manuals, cheat sheets, diagrams and other files that I used during training.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

decagon

Graph convolutional neural network for multirelational link prediction

demo-task-1

Демонстрационная задача «Сложить два числа»

demo-task-2

Демонстрационная задача «Пятый элемент»

developing-kaggle-notebooks

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

gs_example

introduction_to_ml_with_python_russian_translation

Русский перевод книги Андреаса Мюллера и Сары Гвидо Introduction to ML with Python

javascript-task-1

Задача «Аркадий разминается»

javascript-task-2

Задача «Телефонная книга Аркадия»

javascript-task-3

Задача «0b11 друзей Аркадия»

javascript-task-4

Задача «Аркадию пора на лекцию»

markup-task-1

Задача «Подписка на бложик»

markup-task-2

Задача «Ацссорти»

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

ml-course-hse

Машинное обучение на ФКН ВШЭ

ml-course-msu

Lecture notes and code for Machine Learning practical course on CMC MSU

ml-mipt

Machine learning course at MIPT

mlops-zoomcamp

Free MLOps course from DataTalks.Club

python

All Algorithms implemented in Python

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

stylegan

StyleGAN - Official TensorFlow Implementation

testovoe

Home assignments for data science positions