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Free Data Engineering course!
A FREE master plan to kickstart your DevOps Engineer career in the Cloud Native era following the Agile way! ⭐
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Hi All! When I created this repository I was hoping to help just 1 person and save them time. I am super happy to receive overwhelming support and appreciate all the nice comments! I will continue …
All Algorithms implemented in Python
Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
Training PyTorch models with differential privacy
Google's differential privacy libraries.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
The best place to learn data engineering. Built and maintained by the data engineering community.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
The platform for building AI from enterprise data
Collection of helpful tips and tricks for VS Code.
Everything that makes working with databases easier
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
This is a basic project structure for a node js project contain a full support for async/await , proper error handling, basic Joi Validation object oriented para-diagram and much more
A boilerplate for building production-ready RESTful APIs using Node.js, Express, and Mongoose
Curated list of awesome open-source applications made with Node.js
⚡ Delightful Node.js packages and resources
✅ The Node.js best practices list (July 2024)
A curated list of software and architecture related design patterns.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Master the command line, in one page
A long list of (advanced) JavaScript questions, and their explanations ✨