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Starred repositories
Roadmap and Resource Compilation for System Design Fight Club
Master programming by recreating your favorite technologies from scratch.
Your comprehensive guide to global programming contests. Track events, get details, and never miss a competition.
React components for Chart.js, the most popular charting library
🐶 Automated code review tool integrated with any code analysis tools regardless of programming language
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/Docker/Zotero
Building Persistable One-to-One Chat Using Spring Boot and WebSockets
Stream Processing with Apache Flink - Java Examples
🤖 Open-source crypto trading bot | 📈 DCA & GRID strategies | ✨ UI | ⭐ Star to support the project!
Spark job that aggregates zipkin spans for use in the UI
SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open sour…
Microservices online store is an e-commerce web application using microservice and event-driven architecture. Techstack: Spring boot, React, Kafka
Build highly concurrent, distributed, and resilient message-driven applications using Java/Scala
A YouTube Clone microservices application built with .NET 7 and Angular 14.
A flexible, high-performance serving system for machine learning models
Serve, optimize and scale PyTorch models in production
Machine Learning Resources, Practice and Research
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by f…