Projects with this topic
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GitLab AI Gateway is a standalone-service that will give access to AI features to all users of GitLab, no matter which instance they are using: self-managed, dedicated or GitLab.com.
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Self-hosted Telegram bot that transcribes voice/audio/video using Whisper (Bun + Python).
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Lighting Fast Fanduel, DraftKings, Pinnacle, PolyMarket, Opinion Bet Scanner. 100% All Leagues & Markets Coverage
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this api will be make a service to interview and analysis resume for user
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Slimme huishoudboekje-app met AI-gestuurde categorisering. Importeer je ING/Revolut transacties, krijg automatisch inzicht in je uitgaven en beheer je budget met NIBUD-referenties. Privacy-first: alle ML draait lokaal.
Volledige ge amp/vibe coded met Claude Code!
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Flowlexi Labs / PatchVec — Lightweight Vector Search Microservice
CI/CD Catalog (unpublished)PatchVec — A lightweight, multi-model, pluggable vector search microservice with embedded document ingestion.Upload → chunk → index (with metadata) → search via REST and CLI, with access fine grained by multi-tenant collections.
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A FastAPI-based budget tracker that helps users manage their finances by creating categories, tracking transactions, and exporting monthly expenses.
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script generation, safety moderation, and content-quality filtering for 5-second vertical video creation
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AI Radiology Copilot (ARC) is a CNN model app to recognize and label brain tumors in MRI scans.
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Local AI workbench for embeddings, summarization, and OpenAI Agent SDK–compatible workflows. Supports Gemma models, GPT-OSS tool-calling, hardware acceleration, caching, and rate limiting, plus cloud-offloaded, persona-driven summarization through Gemini. (This is a mirror project)
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microservice for working with user assets (portfolios) in the eebook project https://macalistervadim.github.io/eebook-portfolio/
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Fine-tune wangchanBERTa + FastAPI + Docker
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This is a study project built using FastAPI to practice microservice architecture, data normalization techniques, and clean API design.
The service receives raw payloads from different simulated sources and transforms them into a standardized and validated structure.
It centralizes normalization logic and demonstrates how to build a scalable, maintainable, and test-friendly data processing layer.
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🚀 Ready-to-use template for integrating with TaskFlow API - Complete with examples, documentation, and best practices.✨ Features📚 Complete API Documentation - Comprehensive guide with examples🔧 Multi-language Examples - JavaScript, Python, PHP implementations🧪 Testing Framework - Pre-configured tests and mock data📦 Package Configuration - Ready package.json, requirements.txt, composer.json🔐 Security Best Practices - Environment variables and API key management📋 Postman Collection - Import and test immediately🐳 Docker Support - Containerized development environment📖 Contributing Guidelines - Clear contribution workflowUpdated