Projects using Python in Madrid
Projects using Python in Madrid
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Víctor Aguado
pro
Abonoteatro al día
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3
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Berckan Guerrero
max
¿Dónde Están?: Full-stack memorial platform aggregating nearly 9,000 source records from Chile's military dictatorship across 3 sources. Python async ETL pipeline with fuzzy matching achieves 99% deduplication accuracy, resolving them into 3,216 unique victim profiles. AI-powered image restoration using Real-ESRGAN and GFPGAN recovers detail from low-resolution archival photographs. Supabase PostgreSQL backend with 63 migrations and Row Level Security on every table. Full-text search with Spanish stemming and unaccent handling. SHA-256 change detection for incremental sync. Nuxt 3, Vue 3, TypeScript. The first platform in Latin America to unify dictatorship victim records with AI-restored historical photographs.
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806
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fernando aporta franco
scaffld — a CLI that scaffolds fully-wired Python projects (tests, CI, pre-commit, license) with a friendly TUI. Code: github.com/ferinazuma/scaffld
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13
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Kai Relaunch Dept
Proofline Keeper — Transaction Firewall for AI Agents
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Felix Gomez-Guillamon
Freelancer | SEO & AI Services | Ranked Top 2
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23
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Iria Iglesias
Antes de maio (Before May)
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8
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Leonardo Garma
Desktop application for electrophysiology data analysis
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Javier Aquique
Machine Learning Algorithm - Autoencoder-Based Anomaly Detection
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Jorge Cañete
IoT data flow with Visual Components
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28
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HAMZA EL QADIRI
Spotify Loader Benchmark The Spotify Loader Benchmark is a comprehensive framework for evaluating different data loading strategies on the Spotify dataset, providing insights into the performance of various loading mechanisms. By comparing sequential, vectorized, multithreaded, raw SQL, Celery-based, and Flink-based loaders, this project helps developers optimize their data loading processes. With its robust architecture and flexible design, the Spotify Loader Benchmark is an essential tool for anyone working with large datasets.
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54
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Pablo Verdugo
From Freelancer to Startup: Journey in Web Scraping & Automation
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16
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Paloma Dominguez
Full-Stack Development for obesity tracking platform
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Mikhail Markovskii
Complex for forecast and detection of the pests
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3
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Frank Fernandez
Rival Curo
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16
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fernando aporta franco
structllm — reliable structured output from any LLM: schema-validated JSON with tolerant repair, provider-agnostic. Code: github.com/ferinazuma/structllm
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Felix Gomez-Guillamon
YouTube Transcript AI RAG Assistant | Automation
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