Video con la comparativa de tamaño de microorganismos, partiendo del tamaño de un cabello humano (entre 17 y 181 micras, micrómetros … hasta las 3 micras de las bacterias más pequeñas Rhinovirus o lel virus la Polio
Strawberry openai Q*
LINKS INTERESANTES
► STaR: Self Taught Reasoners – Stanford https://arxiv.org/pdf/2203.14465
► “Let’s verify step by step” – OpenAI https://arxiv.org/pdf/2305.20050
► Quiet STaR – Stanford https://arxiv.org/pdf/2403.09629
► (Artículo) Bloomberg https://www.bloomberg.com/news/articl…
► (Artículo) Reuters https://www.reuters.com/technology/ar…
Publicado el 16 de julio por xataka
VideoArte
Con la inteligencia artificial el video arte adquiere una nueva dimensión …
Python for Beginners
44 vídeos en inglés en la lista https://youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6&si=fSXqPwQ50zUdRWVy
https://youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6&si=fo_oAZzmB_IHRA4A
Lista de Microsoft con Github https://learn.microsoft.com/es-es/shows/intro-to-python-development/?wt.mc_id=python-c9-niner
+
Python para principiantes: https://learn.microsoft.com/es-es/training/paths/beginner-python/?WT.mc_id=python-c9-niner
- 4 h 39 min.
- Ruta de aprendizaje
- 10 Módulos
Bienvenid@s a “El libro de python” https://ellibrodepython.com/
Palo Alto Networks
https://www.paloaltonetworks.com/cyberpedia/free-cybersecurity-education-courses
FREE Cybersecurity Education Courses – Palo Alto Networks
vits-web: Web api for using VITS based models in the browser!
https://github.com/diffusion-studio/vits-web
GitHub – diffusion-studio/vits-web: Web api for using VITS based models in the browser!
Voces con inteligencia artificial sin servidor
Español + ingles … y otros idiomas
eBiblio
https://www.cultura.gob.es/cultura/areas/bibliotecas/mc/eBiblio/inicio.html
Inicio – eBiblio | Ministerio de Cultura
Castilla León https://castillayleon.ebiblio.es/
Portapps
Google Apps Script
META CODEC AVATARs
Codec Avatars: Immersive Telepresence with Lifelike Avatars | Meta
What are Codec Avatars?
Codec Avatars allow people in different places to interact using eye contact, subtle shifts in expression, posture and gesture. This fully embodied interaction enables natural and expressive remote communication.
Why open source?
The Codec Avatars lab at Meta Reality Labs Research has been building the future of connection with lifelike avatars since 2015, and has shared many of its results and methods with the research community.
Through this site, Meta Reality Labs Research provides the research community with datasets and baseline reference implementations for Codec Avatars, supporting the advancement of metric telepresence research. Using the code and models we share, researchers are empowered to investigate open challenges in metric telepresence including:
- Generalization of universal priors to new identities
- Online encoder adaptation
- Improving quality for clothing and hair
Get started with Codec Avatars
Ava-256 dataset
First dataset for end-to-end telepresence.
Ava-256 dataset overviewGitHub
Goliath-4 dataset
First complete captures of full bodies, hands and faces.
Goliath-4 dataset overviewGitHub
Other OSS publications and releases
Multiface
High-quality recordings of the faces of 13 people
CT2Hair
High-fidelity 3D hair modeling using computed tomography
Interhand2.6M
Dataset and baseline for 3D interacting hand post estimation
Re:Interhand
Dataset of relightable 3D interacting hands
Eyeful
High-quality indoor scenes for neural reconstruction
Sounding bodies
Modeling 3D spatial sound of humans using body pose and audio
PatternedClothing
4 subjects wearing patterned clothes for high-quality registration