Serhii Yevtukhov's starred repositories
ddia-references
Literature references for “Designing Data-Intensive Applications”
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
ml-system-design-pattern
System design patterns for machine learning
lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
mlops-zoomcamp
Free MLOps course from DataTalks.Club
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.