Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

India29 532 Tecnologías y Aplicaciones8 736...

📈 Análisis del canal de Telegram Computer Science and Programming

El canal Computer Science and Programming (@machinelearning_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 14 846 suscriptores, ocupando la posición 8 736 en la categoría Tecnologías y Aplicaciones y el puesto 29 532 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 14 846 suscriptores.

Según los últimos datos del 04 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -152, y en las últimas 24 horas de -7, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.63%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
Intereses temáticos: El contenido se centra en temas clave como learning, github, engineer, quantization, detection.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 05 junio, 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.

14 846

Suscriptores

-724 horas

-277 días

-15230 días

2 173

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

14.63%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog Why Course Catalog? - Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free. Free Tutorials: - The Course Catalog is the largest and most famous website in the world, providing free tutorials on all areas of computer science. Coursecatalog - From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials. t.me/deeplearning_ai 👇👇👇

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A curated list of awesome Python frameworks, libraries, software and resources. github: https://github.com/vinta/awesome-python https://t.me/MachineLearning_Programming

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Millions of learners have used Class Central to find their next course. https://www.classcentral.com/ Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL

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Millions of learners have used Class Central to find their next course. JOIN US AND STAY UP TO DATE WITH LATEST RESEARCH PAPERS with SOURCE CODE related to Artificial Intelligence https://www.classcentral.com/

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Github: https://github.com/OlafenwaMoses/DeepStack_ExDark Documentation: https://docs.deepstack.cc/index.html#installation Custom dataset preparation: https://docs.deepstack.cc/custom-models/datasetprep/index.html Training custom model: https://docs.deepstack.cc/custom-models/training/index.html

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Dark scene object detection API for detecting 12 common objects in the dark/night images and videos

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500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲 https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code 👉https://t.me/MachineLearning_Programming

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3 Tools to Track and Visualize the Execution of your Python Code https://towardsdatascience.com/3-tools-to-track-and-visualize-the-execution-of-your-python-code-666a153e435e 👉https://t.me/MachineLearning_Programming

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Find and remove duplicate images in your dataset Improve your deep learning image datasets by automatically detecting duplicate and near-duplicate images and removing them https://towardsdatascience.com/find-and-remove-duplicate-images-in-your-dataset-3e3ec818b978 https://t.me/MachineLearning_Programming

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ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation [Cited by 452] paper: http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf github [PyTorch]: https://github.com/Eromera/erfnet_pytorch

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Graph Neural Networks (GNN, GAE, STGNN) https://jonathan-hui.medium.com/graph-neural-networks-gnn-gae-stgnn-1ac0b5c99550 https://t.me/MachineLearning_Programming

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http://introtodeeplearning.com/

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MIT 6.S191 Introduction to Deep Learning 2021 Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

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The Top 1,157 Computer Vision Open Source Projects https://awesomeopensource.com/projects/computer-vision https://t.me/MachineLearning_Programming

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21 Python Mini Projects With Code https://levelup.gitconnected.com/21-python-mini-projects-with-codes-c4126e4131e4 https://t.me/MachineLearning_Programming

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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 https://t.me/MachineLearning_Programming

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sticker.webp0.15 KB

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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net Join: https://t.me/DeepLearning_ai