Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

Red:Computer Science and Programming Italia88 Tecnologías y Aplicaciones804...

📈 Análisis del canal de Telegram Computer Science and Programming

El canal Computer Science and Programming (@computer_science_and_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 140 441 suscriptores, ocupando la posición 804 en la categoría Tecnologías y Aplicaciones y el puesto 88 en la región Italia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 140 441 suscriptores.

Según los últimos datos del 31 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -734, y en las últimas 24 horas de -18, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.96%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.94% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 11 177 visualizaciones. En el primer día suele acumular 2 728 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
Intereses temáticos: El contenido se centra en temas clave como sellerflash, github, developer, pricing, waybienad.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 01 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

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140 441

Suscriptores

-1824 horas

-2617 días

-73430 días

11 177

Visitas de la publicación

~ 2 72824 horas

~ 3 75748 horas

7.96%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

140 427

Blog: https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/ Github: https://github.com/facebookresearch/detectron2 Documentation: https://detectron2.readthedocs.io/en/latest/tutorials/getting_started.html Colab tutorial: https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5#scrollTo=QHnVupBBn9eR

140 427

Detectron2 is a ground-up rewrite of Detectron that started with maskrcnn-benchmark. The platform is now implemented in PyTorch.

140 427

Paper: https://arxiv.org/pdf/2102.09480.pdf Github: https://ycliu93.github.io/projects/unbiasedteacher.html Project page: https://ycliu93.github.io/projects/unbiasedteacher.html

140 427

"Unbiased Teacher for Semi-Supervised Object Detection" from Facebook researchers

140 427

Github: https://github.com/mobvoi/wenet Paper: https://arxiv.org/pdf/2102.01547v1.pdf Tutorial: https://github.com/mobvoi/wenet/blob/main/docs/tutorial.md

140 427

End-to-end speech recognition toolkit (based on Pytorch) What's make it different from other ASR toolkits: * Production first and production ready * Unified solution for streaming and non-streaming ASR * Portable runtime * Light weight

140 427

Github: https://github.com/tohinz/CharacterGAN Paper: https://arxiv.org/pdf/2102.03141.pdf You can use also interactive GUI to easily repose a given character based on keypoints.

140 427

Create Character Animation with small amount of data by using Generative Adversarial Network (GAN)

140 427

Github: https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network Paper: https://arxiv.org/pdf/2101.10292v1.pdf Human-Object Interaction Learning studies (bonus): https://github.com/DirtyHarryLYL/HOI-Learning-List

140 427

Transferable Interactiveness Networks (TIN) for Human-Object Interaction (HOI) Detection

140 427

FALDetector: Github: https://github.com/peterwang512/FALdetector Project page: https://peterwang512.github.io/FALdetector/ Installation tutorial: https://www.youtube.com/watch?v=fZSWAsjwQpE Paper: https://arxiv.org/pdf/1906.05856.pdf

140 427

Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model.

140 427

Github: https://github.com/RameenAbdal/StyleFlow Paper: https://arxiv.org/pdf/2008.02401.pdf Video explaining this paper: https://www.youtube.com/watch?v=Lt4Z5oOAeEY

140 427

Super new addition to GANs StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows

140 427

A new video shows a crew of Boston Dynamics robots busting some impressive dance moves. IMHO: That advances of technology have also led to fears that the robots could become tools of repression or even Terminator-like killing machines. Maybe that’s why they picked this particular song by The Contours — which is definitely a bop, but also contains the plaintive lines: Do you love me Now that I can dance

140 427

TgStat team provided channel's progress for 2020 year. We are keeping growing in every categories: new members, global ranking, the average reach of each post, views per days, citation index when compared with previous year's statistics. We will try our best to provide cutting edge of Artificial Intelligence for AI lovers. Thank you for all subscribers and Thank you for being with us.

140 427

Project Page: https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale Paper: https://arxiv.org/pdf/2012.09004.pdf

140 427

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

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Blog: https://medium.com/zetane-blog/free-software-platform-to-facilitate-collaboration-and-accelerate-adoption-of-ai-in-industry-c629247037b0 Project Page: https://zetane.com/gallery

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Montreal AI startup, Zetane, releases free software platform for the detailed analysis and visualization of popular deep learning models used in industry and research. By opening up black-box algorithms, diverse professionals gain new means to collaborate on applied machine Learning projects.