- Budapest, Hungary
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10:49
(UTC +01:00) - https://gyorgy.orosz.link
- in/oroszgy
Highlights
Learning Resources
Learn how to design systems at scale and prepare for system design interviews
Best Practices on Recommendation Systems
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
A collection of inspiring resources related to engineering management and tech leadership
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A playbook for systematically maximizing the performance of deep learning models.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Jupyter notebooks for course "Computational Morphology with HFST".
An open collection of methodologies to help with successful training of large language models.
Open-Source Information Retrieval Courses @ TU Wien
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
📋 A list of open LLMs available for commercial use.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
21 Lessons, Get Started Building with Generative AI
Understanding Deep Learning - Simon J.D. Prince
Confidence interval computation for evaluation in machine learning using the bootstrapping approach
A guide for technical professionals looking to start consulting
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Machine Learning Journal for Intermediate to Advanced Topics.
Textbook on reinforcement learning from human feedback





