This repository contains templates, tips and other information that can be used in Kaggle competitions, study of ML/Data Science/DL and real life projects. Templates can be used for:
- data obtaining
- EDA
- feature engineering
- creating of loss functions and metrics
- training
- validation and testing
- inference
Also in Models directory you can find a lot of information about modern models, especially neural nets, their architectures, train/inference methods and use cases (CV, NLP, Metric Learning, Unsupervised Learning, etc.)
Fill free to use and share and ⭐ if you like it!