函数式编程指南中文版
- functional-programming
- functional-js
- functor
- curry
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函数式编程指南中文版
Sample Angular application used in the "Angular: Getting Started" course: http://bit.ly/Angular-GettingStarted
🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 79 installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.
A curated list of academic blockchain-related papers
Starter template for NestJS 😻 includes GraphQL with Prisma Client, Passport-JWT authentication, Swagger Api and Docker
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
A SwiftUI system components and interactions demo app
以Spring Cloud Netflix作为服务治理基础, 展示基于tcc思想所实现的分布式事务解决方案
A FREE pragmatic DevOps learning to kickstart your DevOps career and knowledge in the Cloud Native era following the Agile MVP style in the AI era! ⭐ (2026 plans for DevOps, Cloud, Platform, SRE, SWE)
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
A full-stack .NET microservices build on Dapr and Tye
🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.
amis 可视化编辑器示例 https://aisuda.github.io/amis-editor-demo
A curated list of awesome embedded and IoT security resources.
Offensive Software Exploitation Course
A collection of succinct guides - Public Domain
📖 A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Sample ESP32 snippets and code fragments
🛡️ Awesome Cloud Security Resources ⚔️
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Collection of popular and reproducible image denoising works.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
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