Papers on Computational Advertising
- computational-advertising
- machine-learning
- ctr-prediction
- deep-learning
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This repository contains a detailed sample app that implements MVP architecture using Dagger2, GreenDao, RxJava2, FastAndroidNetworking and PlaceholderView
- mvp-architecture
- dagger2
- rxjava
- fast-android-networking
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
- aws
- bytewax
- comet-ml
- generative-ai
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
A step-by-step introduction to making games and interactive media with the Pixi.js rendering engine.
TranslatedRecord CS knowlegement with XMind, version 2.0. Use XMind to record some designs of the Linux operating system, networking, C++, Golang, and databases
TranslatedA knowledge base for red teaming and offensive security.
- command-and-control
- execution
- exploit
- initial-access
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.
- agentic-ai
- langmem
- mcp
- openai-api
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
- solid-principles
- ddd-architecture
- clean-architecture
- clean-code
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Translated《御舆：解码 Agent Harness》(Yuyu, "Imperial Carriage: Decoding the Agent Harness"): 420,000 characters dissecting the Harness skeleton and nervous system of AI Agents — an in-depth analysis of the Claude Code architecture, 15 chapters from the conversation loop to building your own Agent Harness. Online reading website:
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
TranslatedNotes on key interview points for embedded Linux software development, embedded Linux driver development, C language, microcontroller (MCU) development, IoT development, and more
TranslatedAwesome for wepy! A collection of development resources for wepy, a componentized development framework for WeChat Mini Programs
☕ A practical event-driven microservices demo built with Golang. Nomad, Consul Connect, Vault, and Terraform for deployment
- clean-architecture
- echo-framework
- golang
- grpc-gateway
Demo app of React Server Components.
Translated從零開始學 ReactJS (ReactJS 101, "Learning ReactJS from Scratch") is a Chinese-language introductory React tutorial book that hopes to be easy for beginners to understand at a glance, learning the React.js ecosystem (Flux, Redux, React Router, ImmutableJS, React Native, Relay/GraphQL etc.) from the basics to more advanced topics.
TranslatedTensorflow tutorial from basic to hard, 莫烦Python (Mo Fan Python, "Morvan Python") Chinese AI teaching
- tensorflow
- tensorflow-tutorials
- gan
- generative-adversarial-network
A curated list of awesome social engineering resources.
- social-engineering
- awesome-list
- infosec
- psychology
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
An opinionated, actionable guide for software engineering interviews.
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
- barcode
- barcode-scanner
- face-detection
- image-labeling