TranslatedCollects Android TV box apps from across the web, covering categories such as movies and TV, live streaming, karaoke, tools, and games. Organizes high-quality APK resources and supports convenient downloading and automatic updates. Provides security verification, category indexes, and compatibility labels, helping users build a home audio-video entertainment center! ✅ Interface configuration sources for media player shells such as TVBox/影视仓 (Movie Warehouse).
Translated🚁🚀 2026 Airport Recommendations | Panda VPN (PandaVPNPro) has been confirmed to have run off with users' money! Quick Connect VPN (快连VPN) and Xiaoniu Accelerator (小牛加速器, Xiaoniu VPN) offer a poor experience and are expensive. Low-price airports, cheap airports, affordable airports, cost-effective airports, high-speed airports, stable airports, one-yuan airports, circumvention airports, paid airports, fee-charging airports, niche airports, high-quality airports, budget airports. Airport reviews, circumventing China's firewall, scientific internet access, ladders. Not permanently free ladders, official website, not permanently free VPN, not free airports! VPN China. Pay-as-you-go airports, pay-by-usage airports, no time limit airports. Airport node subscriptions, node sharing, Clash nodes, V2ray nodes, non-free nodes. Works with proxy software such as ClashForWindows, V2rayN, singbox, nekobox, and Shadowrocket (小火箭) 🚀🚁
TranslatedAI Engineering Interview Questions (Organized by Company), Chinese Version — A Quick-Reference Handbook of AI Engineering Interview Questions from Top AI Companies, with Links to Answers
TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
TranslatedJava interview & general backend interview guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development
Translated《动手学深度学习》 (Dive into Deep Learning): for Chinese readers, runnable, and open to discussion. The Chinese and English editions are used for teaching at more than 500 universities in more than 70 countries.
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development of image generation and unified models(click to website to see our blog)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
TranslatedMind maps and notes for computer science major courses (408): Computer Organization and Architecture (5th edition, Wang Aiying), Data Structures (Wangdao), Computer Networks (7th edition, Xie Xiren), Operating Systems (4th edition, Tang Xiaodan)
🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
🔐 Tutorial of setting up Security for your API with one way authentication with TLS/SSL and mutual authentication for a java based web server and a client with both Spring Boot. Different clients are provided such as Apache HttpClient, OkHttp, Spring RestTemplate, Spring WebFlux WebClient Jetty and Netty, the old and the new JDK HttpClient, the old and the new Jersey Client, Google HttpClient, Unirest, Retrofit, Feign, Methanol, vertx, Scala client Finagle, Featherbed, Dispatch Reboot, AsyncHttpClient, Sttp, Akka, Requests Scala, Http4s Blaze, Kotlin client Fuel, http4k, Kohttp and ktor. Also other server examples are available such as jersey with grizzly. Also gRPC, WebSocket and ElasticSearch examples are included
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
Translated:books: This repository is a summary of the technical learning journey of the author, Xiao Fuge (小傅哥), from many years of working in front-line internet Java development. It aims to give everyone a clear and detailed learning tutorial, with a focus on writing about core Java content. If this repository helps you, please show your support (follow, like, share)!
Java cryptographic library that supports Argon2, bcrypt, scrypt and PBKDF2 aimed to protect passwords in databases. Easy to use by design, highly customizable, secure and portable. All the implementations follow the standards and have been reviewed to perform better in the JVM.
Generic graph data structures and algorithms for Go (Golang): dependency graphs (DAGs) with cycle checks and topological sort, BFS and DFS traversal, Dijkstra and other shortest paths, connectivity and partitioning. No dependencies.