An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
- algorithms
- data-structures
- array
- bit-manipulation
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An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
common data analysis and machine learning tasks using python
Discover best root apps, Magisk, KernelSu & LSPosed(xposed) modules & rooting guides
🚀 Real-world DevOps projects for aspiring engineers — Beginner to Advanced. Covers AWS, Kubernetes, Docker, CI/CD, Terraform, Jenkins, and more. Hands-on learning with step-by-step guides.
TranslatedA beginner's guide to FDE (Forward Deployed Engineer) from scratch (based on the framework of Fan Bing's original book 增长黑客 (Growth Hacker, "Growth Hacking"))
links to conference publications in graph-based deep learning
A collection of important graph embedding, classification and representation learning papers with implementations.
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Frontend tech guide and curated collection of frontend materials
:satellite: All You Need to Know About Deep Learning - A kick-starter
HTML5/EPUB3 version of SICP
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
A collection of JavaScript modern interview code challenges for beginners to experts
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
AI system design guide for engineers building production AI systems and evals.
Deep Learning Tutorial notes and code. See the wiki for more info.
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.
Quant/Algorithm trading resources with an emphasis on Machine Learning
TranslatedIELTS vocabulary bible (雅思词汇真经), IELTS grammar, Listening 179, Reading 538 synonym replacement, and more. Everything during preparing for my IELTS exam.
An step by step fuzzing tutorial. A GitHub Security Lab initiative
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
A best practice for tensorflow project template architecture.