Datos e inteligencia artificial

Traducción automática del texto incrustado en imágenes y cómics.

Base de datos distribuida unificada para cargas exigentes, multimodelo.

Script for downloading Coursera.org videos and naming them.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Construcción y operación de canalizaciones de datos para integrar y transformar información.

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

MariaDB, la bifurcación comunitaria de MySQL mantenida por su equipo original.

Investigación profunda sobre datos privados; alternativa abierta a Deep Research.

A collection of libraries to optimise AI model performances

Interfaz unificada para gestionar proxies resistentes a la censura sobre Xray.

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

Almacén de características para aprendizaje automático.

Firebase SDK for Apple App Development

Herramientas de ciberseguridad ofensiva y gestión de vulnerabilidades con IA.

🎛 🔊 A Python library for audio.

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

Bases de datos, automatizaciones y aplicaciones sin código, autoalojable y conforme al RGPD.

Remove visible and invisible AI watermarks from images and video, and AI provenance metadata from images, video, and audio. Python library, CLI, and agent skill for SynthID, C2PA,

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

👷 Build images with images

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Asistente de IA que entiende tu contexto de trabajo y se adelanta.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.