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.
A curated list of papers & resources linked to 3D reconstruction from images.
😎 swag opportunities for developers
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
A curated list of awesome Bioinformatics libraries and software.
Some basic javascript coding challenges and interview questions
AI system design guide for engineers building production AI systems and evals.
A curated list of awesome header-only C++ libraries
A curated list of awesome network analysis resources.
₿ A guide (for humans!) to cryto-currencies and their algos.
Quant/Algorithm trading resources with an emphasis on Machine Learning
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.
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.
🐋 Docker Cheat Sheet 🐋
An step by step fuzzing tutorial. A GitHub Security Lab initiative
Awesome Vulkan ecosystem
Lectures on scientific computing with python, as IPython notebooks.
A curated list of awesome ETL frameworks, libraries, and software.
The roadmap for learning the C++ programming language for beginners and experienced devs.
:gem: A collection of awesome Crystal libraries, tools, frameworks and software
:earth_americas: machine learning tutorials (mainly in Python3)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier