Stars
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
A collection of Linux Sysadmin Test Questions and Answers. Test your knowledge and skills in different fields with these Q/A.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
An Open Framework for Federated Learning.
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
Notes, material and various stuff collected while attended TUM Master's Degree
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Research papers with annotations, illustrations and explanations
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Questions to ask the company during your interview
Mega list of 1 on 1 meeting questions compiled from a variety to sources
Curated list of project-based tutorials
All design patterns implemented in Java with code, explanation and learning resources
YSDA course in Natural Language Processing
A course in reinforcement learning in the wild
A collection of various deep learning architectures, models, and tips