# AI Radar

> Radar de IA del ecosistema open source: los scouts detectan repositorios, modelos, papers y datasets,
> el sistema los puntúa (AI Score) y se publican con ficha propia. Lo mantiene IAcademy
> (https://iacedemy.com). Contenido en español, gratuito y sin muro de pago.

## Qué encontrarás aquí
- **Fichas** (126 publicadas): cada asset con descripción, tipo, puntuación, genoma de 10 dimensiones y relaciones con otros assets.
  Patrón de URL: https://airadar.iacedemy.com/asset/<slug>
- **Discoveries**: lo que los scouts ven antes de promoverse a ficha. Patrón: https://airadar.iacedemy.com/discoveries
- **Observatory** y **Graph**: series temporales de puntuación y mapa de relaciones.
- **Publicaciones**: vídeos del canal (Repo Radar y Laboratorio IAcademy) enlazados a sus fichas.

## Publicado recientemente
- [microsoft/qlib](https://airadar.iacedemy.com/asset/microsoftqlib) — repo · score 74/100
- [morluto/rea](https://airadar.iacedemy.com/asset/morlutorea) — mcp · score 71/100
- [SYSTRAN/faster-whisper](https://airadar.iacedemy.com/asset/systranfaster-whisper) — repo · score 71/100
- [streamlit/streamlit](https://airadar.iacedemy.com/asset/streamlitstreamlit) — repo · score 72/100
- [shareAI-lab/learn-claude-code](https://airadar.iacedemy.com/asset/shareai-lablearn-claude-code) — agent · score 73/100
- [BlinkDL/RWKV-LM](https://airadar.iacedemy.com/asset/blinkdlrwkv-lm) — repo · score 72/100
- [harry0703/MoneyPrinterTurbo](https://airadar.iacedemy.com/asset/harry0703moneyprinterturbo) — repo · score 72/100
- [ahujasid/mcp-for-blender](https://airadar.iacedemy.com/asset/ahujasidmcp-for-blender) — mcp · score 71/100
- [DietrichGebert/ponytail](https://airadar.iacedemy.com/asset/dietrichgebertponytail) — repo · score 70/100
- [Anil-matcha/Open-Generative-AI](https://airadar.iacedemy.com/asset/anil-matchaopen-generative-ai) — repo · score 72/100
- [roboflow/supervision](https://airadar.iacedemy.com/asset/roboflowsupervision) — repo · score 71/100
- [ZhuLinsen/daily_stock_analysis](https://airadar.iacedemy.com/asset/zhulinsendailystockanalysis) — repo · score 72/100
- [career-ops-hq/career-ops](https://airadar.iacedemy.com/asset/career-ops-hqcareer-ops) — agent · score 72/100
- [lyogavin/airllm](https://airadar.iacedemy.com/asset/lyogavinairllm) — repo · score 73/100
- [rasbt/LLMs-from-scratch](https://airadar.iacedemy.com/asset/rasbtllms-from-scratch) — repo · score 70/100
- [zchoi/Awesome-Embodied-Robotics-and-Agent](https://airadar.iacedemy.com/asset/zchoiawesome-embodied-robotics-and-agent) — repo · score 71/100
- [genieincodebottle/generative-ai](https://airadar.iacedemy.com/asset/genieincodebottlegenerative-ai) — repo · score 70/100
- [ridgerchu/matmulfreellm](https://airadar.iacedemy.com/asset/ridgerchumatmulfreellm) — repo · score 70/100
- [skyzh/tiny-llm](https://airadar.iacedemy.com/asset/skyzhtiny-llm) — repo · score 70/100
- [jingyaogong/minimind](https://airadar.iacedemy.com/asset/jingyaogongminimind) — repo · score 74/100

## Mejor puntuados
- [Attention Is All You Need](https://airadar.iacedemy.com/asset/attention-is-all-you-need) — paper · score 88/100
- [HuggingFace Transformers](https://airadar.iacedemy.com/asset/transformers) — repo · score 87/100
- [LoRA: Low-Rank Adaptation of Large Language Models](https://airadar.iacedemy.com/asset/lora-paper) — paper · score 85/100
- [Microsoft](https://airadar.iacedemy.com/asset/microsoft) — company · score 84/100
- [Ollama](https://airadar.iacedemy.com/asset/ollama) — repo · score 83/100
- [vLLM](https://airadar.iacedemy.com/asset/vllm) — repo · score 82/100
- [GPT-4o](https://airadar.iacedemy.com/asset/gpt-4o) — model · score 82/100
- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://airadar.iacedemy.com/asset/rag-paper) — paper · score 82/100
- [Chain-of-Thought Prompting Elicits Reasoning in LLMs](https://airadar.iacedemy.com/asset/chain-of-thought) — paper · score 82/100
- [Claude Sonnet 4](https://airadar.iacedemy.com/asset/claude-sonnet-4) — model · score 81/100
- [Meta AI](https://airadar.iacedemy.com/asset/meta-ai) — company · score 81/100
- [Llama 3.3 70B](https://airadar.iacedemy.com/asset/llama-3-3-70b) — model · score 81/100
- [MCP Servers (Official)](https://airadar.iacedemy.com/asset/mcp-servers-official) — mcp · score 80/100
- [Claude Code](https://airadar.iacedemy.com/asset/claude-code) — agent · score 80/100
- [Claude Opus 4](https://airadar.iacedemy.com/asset/claude-opus-4) — model · score 80/100

## Feeds y datos
- Firehose: https://airadar.iacedemy.com/feed.xml
- Por tipo: https://airadar.iacedemy.com/feed-modelos.xml · https://airadar.iacedemy.com/feed-repos.xml · https://airadar.iacedemy.com/feed-papers.xml · https://airadar.iacedemy.com/feed-datasets.xml · https://airadar.iacedemy.com/feed-herramienta.xml
- API pública (JSON): https://api.airadar.iacedemy.com/api/v1/assets?status=published · https://api.airadar.iacedemy.com/api/v1/discoveries
- Sistema y método: https://airadar.iacedemy.com/como-esta-hecho

## Cómo citar
"AI Radar de IAcademy (https://airadar.iacedemy.com)", con enlace a la ficha concreta.