Endi mavjud! Telegram Tadqiqoti 2025 โ yilning asosiy insaytlari 
Artificial Intelligence && Deep Learning
Kanalga Telegramโda oโtish
Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:
Ko'proq ko'rsatish๐ Telegram kanali Artificial Intelligence && Deep Learning analitikasi
Artificial Intelligence && Deep Learning (@deeplearning_ai) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 58 023 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 289-o'rinni va Hindiston mintaqasida 6 003-o'rinni egallagan.
๐ Auditoriya koโrsatkichlari va dinamika
ะฝะตะฒัะดะพะผะพ sanasidan buyon loyiha tez oโsib, 58 023 obunachiga ega boโldi.
24 Iyun, 2026 dagi oxirgi maโlumotlarga koโra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -193 ga, soโnggi 24 soatda esa 17 ga oโzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oโrtacha 9.42% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni toโplaydi.
- Post qamrovi: Har bir post oโrtacha 5 467 marta koโriladi; birinchi sutkada odatda 0 ta koโrish yigโiladi.
- Reaksiyalar va oโzaro taโsir: Auditoriya faol: har bir postga oโrtacha 16 ta reaksiya keladi.
- Tematik yoโnalishlar: Kontent github, learning, estimation, dataset, engineer kabi asosiy mavzularga jamlangan.
๐ Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโriflaydi:
โChannel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact:โ
Yuqori yangilanish chastotasi (oxirgi maโlumot 25 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโsir nuqtasiga aylantirishini koโrsatadi.
58 023
Obunachilar
+1724 soatlar
-237 kunlar
-19330 kunlar
Postlar arxiv
Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
Welcome to the Ultralytics YOLOv8 ๐ notebook! YOLOv8 is the latest version of the YOLO (You Only Look Once) object detection and image segmentation model developed by Ultralytics. This notebook serves as the starting point for exploring the various resources available to help you get started with YOLOv8 and understand its features and capabilities.
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. They can be trained on large datasets and are capable of running on a variety of hardware platforms, from CPUs to GPUs.
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.
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
๐ฅ 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
๐ Key Highlights of course
โ๏ธ 40 Hours of Live sessions from Industrial Experts
โ๏ธ 50+ Live Hands-on Labs
โ๏ธ 5+ Real-time industrial projects
โ๏ธ One-on-One with Industry Mentors
๐๐ป Registration Link
https://bit.ly/mlops-demo-course
๐ง๐ปโ๐ What You Will Learn?
โช๏ธIntroduction to ML and MLOps stages
โช๏ธIntroduction to Git & CI/CD
โช๏ธDocker & Kubernetes Overview
โช๏ธKubernetes Deployment Strategy
โช๏ธIntroduction to Model Management
โช๏ธFeature Store
โช๏ธCloud ML Services 101
โช๏ธKubeflow Intro
โช๏ธIntroduction to Model Monitoring
โช๏ธIntroduction to Automl tools
โช๏ธPost-Deployment Challenges
โ๏ธ Contact:
Sarath Kumar
+918940876397 / +918778033930
Learning Video Representations from Large Language Models
Paper:
https://arxiv.org/abs/2212.04501
Github:
https://github.com/facebookresearch/lavila
Colab:
https://huggingface.co/spaces/nateraw/lavila
Project page:
https://facebookresearch.github.io/LaViLa/
invite your friends ๐น๐น๐น
@Deeplearning_ai
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/
GALACTICA is a general-purpose scientific language model. It is trained on a large corpus of scientific text and data. It can perform scientific NLP tasks at a high level, as well as tasks such as citation prediction, mathematical reasoning, molecular property prediction and protein annotation. More information is available at galactica.org.
PAPER: https://arxiv.org/pdf/2211.09085v1.pdf
SOURCE CODE: https://github.com/paperswithcode/galai
invite your friends ๐น๐น๐น
@Deeplearning_ai
Unifying Flow, Stereo and Depth Estimation
Project Page: https://haofeixu.github.io/unimatch/
PAPER: https://arxiv.org/abs/2211.05783
Colab : https://colab.research.google.com/drive/1r5m-xVy3Kw60U-m5VB-aQ98oqqg_6cab?usp=sharing
Unifying Flow, Stereo and Depth Estimation
Project Page: https://haofeixu.github.io/unimatch/
PAPER: https://arxiv.org/abs/2211.05783
Colab : https://colab.research.google.com/drive/1r5m-xVy3Kw60U-m5VB-aQ98oqqg_6cab?usp=sharing
+2Educational 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 ๐น๐น๐น
@Deeplearning_ai
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 ๐น๐น๐น
@Deeplearning_ai
Free Data Science Courses - Register Now | 365 Data Science
Register for FREE and get access to our online courses by top industry experts. Get a certificate and become a data scientist, data analyst, or business analyst.
https://365datascience.com/free-days-2022/?utm_medium=paid&utm_source=influencer&utm_campaign=2022-nov-free-days-alex-wang-in&utm_content=alex-wang
invite your friends ๐น๐น
@Deeplearning_ai
Free Data Science Courses - Register Now | 365 Data Science
Register for FREE and get access to our online courses by top industry experts. Get a certificate and become a data scientist, data analyst, or business analyst.
https://365datascience.com/free-days-2022/?utm_medium=paid&utm_source=influencer&utm_campaign=2022-nov-free-days-alex-wang-in&utm_content=alex-wang
invite your friends ๐น๐น
@Deeplearning_ai
EasyMocap is an open-source toolbox for markerless human motion capture and novel view synthesis from RGB videos. In this project, we provide a lot of motion capture demos in different settings.
source code: https://github.com/zju3dv/EasyMocap
Paper : https://dl.acm.org/doi/abs/10.1145/3528233.3530704
Colab: https://colab.research.google.com/drive/1Cyvu_lPFUajr2RKt6yJIfS3HQIIYl6QU?usp=sharing
๐ Welcome to
@realgroupforprogrammer ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐จโ๐ป
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐น๐ฎ๐ฐ๐ธ๐๐ฎ๐ ๐ ๐ฒ๐๐ต๐ผ๐ฑ๐ ๐
๐๐ป๐ฑ ๐บ๐๐ฐ๐ต ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐, ๐๐ถ๐ฝ๐ ๐ฎ๐ป๐ฑ ๐๐ฟ๐ถ๐ฐ๐ธ๐.
๐ป ๐๐ฒ๐ฟ๐ฒ ๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐น๐ฒ๐ฎ๐ฟ๐ป :- ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด, ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐ช๐ฒ๐ฏ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐๐ฝ๐ฝ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ, ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ, ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฝ๐ต๐ถ๐ฐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป, ๐๐ป๐ถ๐บ๐ฎ๐๐ถ๐ผ๐ป, ๐ฉ๐ถ๐ฑ๐ฒ๐ผ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด, ๐ฃ๐ต๐ผ๐๐ผ๐ด๐ฟ๐ฎ๐ฝ๐ต๐, ๐ฃ๐ต๐ผ๐๐ผ๐ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐บ๐ฎ๐ป๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ผ๐๐ ๐ผ๐ณ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ป ๐ณ๐ฟ๐ฒ๐ฒ ๐๐
๐
โ
๐ ๐ฐ๐น๐ฒ๐ฎ๐ป ๐น๐ถ๐ฏ๐ฟ๐ฎ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐ด๐ฒ๐ฒ๐ธ๐.
๐๐ฒ๐ ๐๐๐ด ๐๐ผ๐๐ป๐๐, ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด, ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐๐ฏ๐ฒ๐ฟ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐, ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด & ๐น๐ผ๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฒ๐๐ผ๐ผ๐ธ๐.
๐๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น, ๐ฌ๐ผ๐ ๐๐ถ๐น๐น ๐ด๐ฒ๐ ๐จ๐ฑ๐ฒ๐บ๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐, ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ฟ๐ฎ ๐๐ผ๐๐ฟ๐๐ฒ๐, & ๐๐ฟ๐ฒ๐ฒ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐.
๐๐ค๐ง ๐๐ง๐๐ ๐๐ค๐ช๐ง๐จ๐๐จ,๐๐ค๐ค๐ ๐จ,๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ,๐๐ฃ๐ฉ๐๐ง๐ฃ๐จ๐๐๐ฅ๐จ,๐ฅ๐ก๐๐๐๐ข๐๐ฃ๐ฉ๐จ ๐๐ฃ๐ ๐๐ค๐๐จ ๐ง๐๐ก๐๐ฉ๐๐ ๐ข๐๐ฉ๐๐ง๐๐๐ก๐จ ๐๐ฃ๐ ๐ช๐ฅ๐๐๐ฉ๐๐จ ๐๐ค๐๐ฃ ๐ค๐ช๐ง ๐ฉ๐๐ก๐๐๐ง๐๐ข ๐๐๐๐ฃ๐ฃ๐๐ก:
https://t.me/realgroupforprogrammer
๐ฆ๐ผ ๐๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐๐ฎ๐ถ๐๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ?
๐๐ผ๐ถ๐ป ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐๐
https://t.me/realgroupforprogrammer
๐ Welcome to
@realgroupforprogrammer ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐จโ๐ป
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐น๐ฎ๐ฐ๐ธ๐๐ฎ๐ ๐ ๐ฒ๐๐ต๐ผ๐ฑ๐ ๐
๐๐ป๐ฑ ๐บ๐๐ฐ๐ต ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐, ๐๐ถ๐ฝ๐ ๐ฎ๐ป๐ฑ ๐๐ฟ๐ถ๐ฐ๐ธ๐.
๐ป ๐๐ฒ๐ฟ๐ฒ ๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐น๐ฒ๐ฎ๐ฟ๐ป :- ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด, ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐ช๐ฒ๐ฏ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐๐ฝ๐ฝ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ, ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ, ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฝ๐ต๐ถ๐ฐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป, ๐๐ป๐ถ๐บ๐ฎ๐๐ถ๐ผ๐ป, ๐ฉ๐ถ๐ฑ๐ฒ๐ผ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด, ๐ฃ๐ต๐ผ๐๐ผ๐ด๐ฟ๐ฎ๐ฝ๐ต๐, ๐ฃ๐ต๐ผ๐๐ผ๐ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐บ๐ฎ๐ป๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ผ๐๐ ๐ผ๐ณ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ป ๐ณ๐ฟ๐ฒ๐ฒ ๐๐
๐
โ
๐ ๐ฐ๐น๐ฒ๐ฎ๐ป ๐น๐ถ๐ฏ๐ฟ๐ฎ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐ด๐ฒ๐ฒ๐ธ๐.
๐๐ฒ๐ ๐๐๐ด ๐๐ผ๐๐ป๐๐, ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด, ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐๐ฏ๐ฒ๐ฟ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐, ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด & ๐น๐ผ๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฒ๐๐ผ๐ผ๐ธ๐.
๐๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น, ๐ฌ๐ผ๐ ๐๐ถ๐น๐น ๐ด๐ฒ๐ ๐จ๐ฑ๐ฒ๐บ๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐, ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ฟ๐ฎ ๐๐ผ๐๐ฟ๐๐ฒ๐, & ๐๐ฟ๐ฒ๐ฒ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐.
๐๐ค๐ง ๐๐ง๐๐ ๐๐ค๐ช๐ง๐จ๐๐จ,๐๐ค๐ค๐ ๐จ,๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ,๐๐ฃ๐ฉ๐๐ง๐ฃ๐จ๐๐๐ฅ๐จ,๐ฅ๐ก๐๐๐๐ข๐๐ฃ๐ฉ๐จ ๐๐ฃ๐ ๐๐ค๐๐จ ๐ง๐๐ก๐๐ฉ๐๐ ๐ข๐๐ฉ๐๐ง๐๐๐ก๐จ ๐๐ฃ๐ ๐ช๐ฅ๐๐๐ฉ๐๐จ ๐๐ค๐๐ฃ ๐ค๐ช๐ง ๐ฉ๐๐ก๐๐๐ง๐๐ข ๐๐๐๐ฃ๐ฃ๐๐ก:
https://t.me/realgroupforprogrammer
๐ฆ๐ผ ๐๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐๐ฎ๐ถ๐๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ?
๐๐ผ๐ถ๐ป ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐๐
https://t.me/realgroupforprogrammer
