Aprendizaje automático · GitHub

Apuntes personales sobre el curso de aprendizaje automático de Andrew Ng

🤗 Diffusers: modelos de difusión de última generación para generar imágenes, vídeos y audio con PyTorch.

A simple, high-quality voice conversion tool focused on ease of use and performance.

PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

OCR puro en JavaScript para más de 100 idiomas 📖🎉🖥

Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Amplia lista de herramientas y recursos geoespaciales

Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.

• 📸 Recognize - Capture a region, open an image, select PDF pages, or write by hand; recognize formulas, text, and mixed content
• ⌨️ Edit and preview - Edit LaTeX source with live preview from the bundled MathJax runtime

Libro abierto sobre ingeniería de aprendizaje automático

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

Turn YouTube videos into deep learning resources with transcripts, bilingual translation, AI overviews, explanations, and notes. Bring your own keys.

Colección de artículos y proyectos de código abierto de CVPR 2026

Stock AI Trader: una plataforma integral para aprender y realizar trading simulado y en vivo. Incluye conceptos básicos de bolsa, estrategias, LLM, minería de factores, ML/DL/RL, redes de grafos, HFT, despliegue en C++ y código de JoinQuant.

• 🏦 One-Stop Platform - Full-process coverage from learning and simulation to live trading
• 📈 Diverse Strategies - LLMs, alpha mining, traditional strategies, ML, DL, RL, GNN, high-frequency trading

Biblioteca escalable, portable y distribuida de gradient boosting (GBDT, GBRT o GBM) para Python, R, Java, Scala, C y otros lenguajes. Se ejecuta en una sola máquina, Hadoop, Spark, Dask, Flink y DataFlow.

🚀🀄️ A fast and strong AI for riichi mahjong, powered by Rust and deep reinforcement learning.