Computer Science and Programming

Open in Telegram

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 Technologies & Applications8 736...

📈 Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@machinelearning_programming) in the English language segment is an active participant. Currently, the community unites 14 843 subscribers, ranking 8 736 in the Technologies & Applications category and 29 532 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 843 subscribers.

According to the latest data from 04 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -152 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 14.63%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as learning, github, engineer, quantization, detection.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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:”

Thanks to the high frequency of updates (latest data received on 05 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

14 843

Subscribers

-724 hours

-277 days

-15230 days

2 173

Post views

No data24 hours

No data48 hours

14.63%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

14 843

Awesome work ....

14 843

"A panda is playing guitar on times square" Text2Video-Zero Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators Paper: https://arxiv.org/abs/2303.13439 Video Result: video result link Source code: https://github.com/picsart-ai-research/text2video-zero join us: @MachineLearning_Programming

14 843

MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications. 2023 lectures are starting in just one day, Jan 9th! Link to register: http://introtodeeplearning.com MIT Introduction to Deep Learning The 2022 lectures can be found here: https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI 👉 @deeplearning_ai

14 843

🔥 Machine Learning Operations (MLOps) Specialization Course Demo # FREE CLASS Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & Open- Source tools 📈 Key Highlights of course ✔️ 40 Hours of Live sessions from Industrial Experts ✔️ 50+ Live Hands-on Labs ✔️ 5+ Real-time industrial projects ✔️ One-on-One with Industry Mentors 👉🏻 Registration Link https://bit.ly/mlops-live 🧑🏻‍🎓 What You Will Learn? ▪️Introduction to ML and MLOps stages ▪️Introduction to Git & CI/CD ▪️Docker & Kubernetes Overview ▪️Kubernetes Deployment Strategy ▪️Introduction to Model Management ▪️Feature Store ▪️Cloud ML Services 101 ▪️Kubeflow Intro ▪️Introduction to Model Monitoring ▪️Introduction to Automl tools ▪️Post-Deployment Challenges ☎️ Contact: Sarath Kumar +918940876397 / +918778033930

14 843

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models Source code: https://github.com/microsoft/visual-chatgpt Paper: https://arxiv.org/pdf/2303.04671v1.pdf @MachineLearning_Programming

14 843

3D-aware Conditional Image Synthesis (pix2pix3D) Pix2pix3D synthesizes 3D objects (neural fields) given a 2D label map, such as a segmentation or edge map Github: https://github.com/dunbar12138/pix2pix3D Paper: https://arxiv.org/abs/2302.08509 Project: https://www.cs.cmu.edu/~pix2pix3D/ Datasets: CelebAMask , AFHQ-Cat-Seg , Shapenet-Car-Edge

14 843

Machine Learning Operations (MLOps) Masterclass 🏆 Unlock your full potential with MLOps Masterclass Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment. Register Now👇 https://bit.ly/mlops-class Why you shouldn't miss this Masterclass? ✔️ 15+ hands-on exercises. ✔️ 2 Real-life industry projects. ✔️Dedicated mentoring sessions from industry experts. ✔️ 10 hours session consisting of theory + Hands-on. Schedule: 11th,Sat & 12th,Sun March Highlights of this Masterclass: ▪️Machine Learning Operations (MLOps) Introduction ▪️Getting started with AWS for Machine Learning ▪️AWS SageMaker ▪️CI/CD Tools ▪️AWS MLOps Tools ▪️AWS MLOps - Build, Train & deploy ML Model

14 843

https://youtu.be/yIFCQGBrHls

14 843

GLIGEN: Open-Set Grounded Text-to-Image Generation Project Page: https://gligen.github.io/ Demo: https://dev.hliu.cc/gligen_mirror2/ Paper: https://arxiv.org/abs/2301.07093

14 843

YOLOv8 is the newest state-of-the-art YOLO model that can be used for object detection, image classification, and instance segmentation tasks. YOLOv8 includes numerous architectural and developer experience changes and improvements over YOLOv5. Code: https://github.com/ultralytics/ultralytics What's New in YOLOv8 ? https://blog.roboflow.com/whats-new-in-yolov8/ Yolov8 Instance Segmentation (ONNX): https://github.com/ibaiGorordo/ONNX-YOLOv8-Instance-Segmentation

14 843

Welcome to the Ultralytics YOLOv8 🚀 notebook! YOLOv8 is the latest version of the YOLO object detection and image segmentation model developed by Ultralytics. The YOLOv8 models are designed to be fast, accurate, and easy to use, making them an excellent choice for a wide range of object detection and image segmentation tasks. source code: https://github.com/ultralytics/ultralytics colab : https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb#scrollTo=t6MPjfT5NrKQ MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications. Link to register: http://introtodeeplearning.com MIT Introduction to Deep Learning The 2022 lectures can be found here: https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

14 843

Repost from Artificial Intelligence && Deep Learning

14 843

MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications. 2023 lectures are starting in just one day, Jan 9th! Link to register: http://introtodeeplearning.com MIT Introduction to Deep Learning The 2022 lectures can be found here: https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

14 843

🔥 Machine Learning Operations (MLOps) Specialization Course Demo # FREE CLASS Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & Open- Source tools 📈 Key Highlights of course ✔️ 40 Hours of Live sessions from Industrial Experts ✔️ 50+ Live Hands-on Labs ✔️ 5+ Real-time industrial projects ✔️ One-on-One with Industry Mentors 👉🏻 Registration Link https://bit.ly/mlops-demo-course 🧑🏻‍🎓 What You Will Learn? ▪️Introduction to ML and MLOps stages ▪️Introduction to Git & CI/CD ▪️Docker & Kubernetes Overview ▪️Kubernetes Deployment Strategy ▪️Introduction to Model Management ▪️Feature Store ▪️Cloud ML Services 101 ▪️Kubeflow Intro ▪️Introduction to Model Monitoring ▪️Introduction to Automl tools ▪️Post-Deployment Challenges ☎️ Contact: Sarath Kumar +918940876397 / +918778033930

14 843

Repost from Artificial Intelligence && Deep Learning

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild Paper: https://arxiv.org/pdf/2207.10660.pdf Github: https://github.com/facebookresearch/omni3d Project page: https://garrickbrazil.com/omni3d/ invite your friends 🌹🌹🌹 @Deeplearning_ai

14 843

The freeCodeCamp community is thrilled to share this new book with you: The Express and Node.js Handbook. This Full Stack JavaScript book will come in handy when you're coding your next web app. You'll learn about JSON API requests, middleware, cookies, routing, static assets, sanitizing, and more. You can read the entire book freely in your browser, and bookmark it for handy reference. Table of Contents How to Install Express The first "Hello, World" example Request Parameters How to Send a Response to the Client How to Send a JSON Response How to Manage Cookies How to Work with HTTP Headers How to Handle Redirects Routing in Express Templates in Express Express Middleware How to Serve Static Assets with Express How to Send Files to the Client Sessions in Express How to Validate Input in Express How to Sanitize Input in Express How to Handle Forms in Express How to Handle File Uploads in Forms in Express https://www.freecodecamp.org/news/the-express-handbook/ invite your friends 🌹🌹🌹 @MachineLearning_Programming

14 843

Deep Face Restoartion: Denoise, Super-Resolution, Deblur and Artifact Removal Table of Contents * Surveys * Deep Blind Face Restoration * Deep Face Super-Resolution * Deep Face Deblurring * Deep Face Denoising * Deep Face Artifact Removal * Other Related Works * Image Quality Assessment * Benchmark Datasets * Recommended Datasets * All Datasets Paper: https://arxiv.org/pdf/2211.02831v1.pdf source code: https://github.com/taowangzj/awesome-face-restoration invite your friends 🌹🌹🌹 @MachineLearning_Programming

14 843

Educational Channels And Videos In YOUTUBE Youtube kanallar contentlari bo'yicha tartiblangan ajoyib web sayt. You may select and enjoy channels regarding on your interests. https://limnology.co/en invite your friends 🌹🌹🌹 @MachineLearning_Programming