- Multimodal model for products classification using embeddings from ruBERT, ResNet, FastText, Wiki2Vec
- Bears Recognition
- Predicting product’s category according to state registry (ГИСП)
- Hierarchical classification of goods by description (test task from KazanExpress)
- Python document cropper which can be applied to images
- Jokes generator
- News classifier (test task from SKB Kontur)
- Some jupyter notebooks
- Python, C++, C, Java
- Frameworks: PyTorch, scikit-learn, CatBoost, Pandas, Numpy, aiogram, Pillow, Tkinter, MatplotLib, OpenCV
- Operating Systems: Windows, UNIX-like
- Databases: PostgreSQL, SQLite
- Cloud infrastructures: Heroku
- Version control systems: Git
Repositories with some courses and electives which I studied
- Reinforcement Learning
- Natural Language Processing
- Introduction to Machine Learning
- Security and Interpretability of Machine Learning
- Digital Signal Processing
- Information Retrieval
- Introduction to Artificial Intelligence
- Game Theory
- Distributed Network Programming
- Operating systems
- Database Systems
- Data Structures and Algorithms
- Differential Equations
- Introduction to Programming
- telegram: https://t.me/and_va2
- email: [email protected]