A collection of JavaScript modern interview code challenges for beginners to experts
- javascript
- frontend
- frontend-framework
- frontend-development
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A collection of JavaScript modern interview code challenges for beginners to experts
A curated list of awesome data visualization libraries and resources.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
:mortar_board: A workshopper for GLSL shaders and graphics programming
😎 swag opportunities for developers
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
:books: Directory of Python books
Inspired by https://github.com/djadmin/awesome-bug-bounty, a list of bug bounty write-up that is categorized by the bug nature
Some basic javascript coding challenges and interview questions
AI system design guide for engineers building production AI systems and evals.
A community coding style guide for the Clojure programming language
A curated list of awesome responsible machine learning resources.
Welcome to the SDE Interview Preparation Roadmap! This repository is not just about my personal journey; it's a collaborative space for collective learning. As I prepare for Software Development Engineer (SDE) interviews, I've created a comprehensive checklist to guide my preparation.
A curated list of action recognition and related area resources
A collection of Swift tips & tricks that I've shared on Twitter
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
These are the sample Bounded Contexts from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Sample apps for Electron
📲 ChatGPT Android demonstrates a Chatbot application using OpenAI's chat API on Android with Stream Chat SDK for Compose.
HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)
The meta-skill that builds and improves all your skills, including itself. Watches your work sessions (autonomous or human-led), captures patterns, corrections and judgement calls, and turns them into skill improvements and new skill candidates for your review. Practical application of the Augmented Expertise methodology. Open source: CC BY 4.0.
Code accompanying the book "Machine Learning for Hackers"
Awesome Vulkan ecosystem
⚡️ A curated list of awesome things related to Bun