Grokking the Coding Interview: Patterns for Coding Questions Alternative
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Grokking the Coding Interview: Patterns for Coding Questions Alternative
📺 A collection of useful YouTube channels for javascript developers and web designers
Translated🙋 Ask the key questions. And answer bravely. From domestic IT companies to Silicon Valley, "technical interviews explained by current industry professionals"
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 collection of JavaScript modern interview code challenges for beginners to experts
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑💻 Video Tutorials.
A curated list of awesome data visualization libraries and resources.
Applied offensive security with Rust - https://kerkour.com/black-hat-rust
Translated🇨🇳 Complete collection of OpenClaw use cases in Chinese | 50 real-world scenarios | China-specific cases + adaptations of overseas cases for use in China | Office automation · Content creation · Operations & maintenance · AI assistants · Knowledge management | Beginner-friendly
A curated list of awesome DevOps platforms, tools, practices and resources
🙌 Welcome open-source Python mini-project contributions!
A curated list of awesome data labeling tools
A curated list of papers & resources linked to 3D reconstruction from images.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
TranslatedThe Swiss Army knife of big front-end, recording only what is useful.
Data Science Roadmap from A to Z
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Template iOS app using Clean Architecture and MVVM. Includes DIContainer, FlowCoordinator, DTO, Response Caching and one of the views in SwiftUI
This repository contains a detailed sample app that implements MVP architecture using Dagger2, GreenDao, RxJava2, FastAndroidNetworking and PlaceholderView
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
TranslatedA knowledge base for red teaming and offensive security.
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.