This media is not supported in your browser
VIEW IN TELEGRAM
You know the shape of the script before you open the editor. The hour goes to argparse, a retry wrapper, a rate limiter you have written eleven times already.
Create your own AI agent inside Telegram in about a minute, and create small tools with it right in the chat.
▫️ describe a tool in a sentence and it writes, runs and returns the working script
▫️ ships a mini-app inside Telegram — a form, a converter, a dashboard, no deploy and no hosting
▫️ drop in a traceback or a repo link and get the fix, not a lecture
▫️ swap the model per task with one command, so cheap work runs cheap
▫️ remembers your stack, your conventions and your project for months
▫️ voice in, answer back — describe the task on the way home, read the result when you are back
Setup takes a minute: open the link, start the free trial, name your agent.
30 days free, no card needed.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide."
It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning.
https://github.com/Nicolepcx/transformers-the-definitive-guide
https://t.me/MachineLearning9🤩
It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning.
https://github.com/Nicolepcx/transformers-the-definitive-guide
https://t.me/MachineLearning9
Please open Telegram to view this post
VIEW IN TELEGRAM
❤3👍1
Forwarded from Free Online Courses
🎓 Deep Learning for Images with PyTorch: CNNs to GANs
#Data_Science
#DataCamp
🏫 Platform: DataCamp
🆓 100% FREE
━━━━━━━━━━━━━━━━━━━━
📝 Course Details:
This advanced computer vision course delivers a hands-on exploration of PyTorch across all major vision tasks. From Convolutional Neural Networks (CNNs) for image classification to advanced segmentation masks and Generative Adversarial Networks (GANs), it prepares practitioners for complex computer vision engineering tasks.
Who It's For
Advanced PyTorch practitioners, computer vision engineers, and machine learning research engineers seeking deep technical expertise in image processing and synthesis.
Key Takeaways
• CNNs & Object Detection: Train CNNs for binary and multi-class classification, leverage pre-trained models, and evaluate object detection using bounding boxes.
…
📢 Channel: https://t.me/Courses27
#Data_Science
#DataCamp
🏫 Platform: DataCamp
🆓 100% FREE
━━━━━━━━━━━━━━━━━━━━
📝 Course Details:
This advanced computer vision course delivers a hands-on exploration of PyTorch across all major vision tasks. From Convolutional Neural Networks (CNNs) for image classification to advanced segmentation masks and Generative Adversarial Networks (GANs), it prepares practitioners for complex computer vision engineering tasks.
Who It's For
Advanced PyTorch practitioners, computer vision engineers, and machine learning research engineers seeking deep technical expertise in image processing and synthesis.
Key Takeaways
• CNNs & Object Detection: Train CNNs for binary and multi-class classification, leverage pre-trained models, and evaluate object detection using bounding boxes.
…
📢 Channel: https://t.me/Courses27
❤3
🚀Round 2 – 14-Day CCNA & CCNP Study Sprint!
Our first 21-Day Sprint was a huge success — we saw amazing check-ins, great discussions, and a community that truly learned together. 🙌
Now we're back with a faster, tighter 14-Day Sprint — same energy, same prizes, easier to finish! 💪
📅 Sprint Period: Sep 14 – Sep 27 (UTC+8)
📝 How It Works:
① DM admin: "I'M IN + cert name" (e.g., I'M IN CCNA 200-301)
② Check in 12 out of 14 days → win prizes 🎁
🏆 Prizes (First come, first served!):
1️⃣ $10 SPOTO Universal Coupon ×2
2️⃣ Cisco SD-Access Training ($150 value) ×1
3️⃣ Cisco SD-WAN Training ($150 value) ×1
4️⃣ CCNA Training Pro Package ($59.99 value) ×10
5️⃣ Free Cisco Learning Pack – unlimited for all finishers 🎁
✅ Referral Bonus: Invite a friend → Get FREE EXAM DEMO
💻 DM admin to register: https://wa.me/8619559123054
JOIN 14 Days Study Sprint: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf
Our first 21-Day Sprint was a huge success — we saw amazing check-ins, great discussions, and a community that truly learned together. 🙌
Now we're back with a faster, tighter 14-Day Sprint — same energy, same prizes, easier to finish! 💪
📅 Sprint Period: Sep 14 – Sep 27 (UTC+8)
📝 How It Works:
① DM admin: "I'M IN + cert name" (e.g., I'M IN CCNA 200-301)
② Check in 12 out of 14 days → win prizes 🎁
🏆 Prizes (First come, first served!):
1️⃣ $10 SPOTO Universal Coupon ×2
2️⃣ Cisco SD-Access Training ($150 value) ×1
3️⃣ Cisco SD-WAN Training ($150 value) ×1
4️⃣ CCNA Training Pro Package ($59.99 value) ×10
5️⃣ Free Cisco Learning Pack – unlimited for all finishers 🎁
✅ Referral Bonus: Invite a friend → Get FREE EXAM DEMO
💻 DM admin to register: https://wa.me/8619559123054
JOIN 14 Days Study Sprint: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf
❤7
🔖 Free book on graph theory
"Introduction to Graph Theory" by Darij Grinberg is an advanced resource with theorems, an algebraic approach, and plenty of exercises.
You can read it for free with an AI tutor.
⛓ Link to the book
https://chapterpal.com/ebook/473a1c1b-c584-4430-b986-cd9c57085e67
"Introduction to Graph Theory" by Darij Grinberg is an advanced resource with theorems, an algebraic approach, and plenty of exercises.
You can read it for free with an AI tutor.
⛓ Link to the book
https://chapterpal.com/ebook/473a1c1b-c584-4430-b986-cd9c57085e67
❤5
Get Up to 500MB of Residential Proxy Traffic for Your Python Projects 🐍
Building a web scraper with Python?
ThorData helps developers collect public web data while handling proxy rotation, geo-targeting, and access restrictions.
✅ Residential IPs across 190+ countries
✅ Country, city, and ASN-level targeting
✅ Rotating and sticky sessions
✅ HTTP(S) and SOCKS5 support
✅ Works with Requests, Scrapy, Selenium, and Playwright
🎁 Exclusive offer for Machine Learning with Python members
Eligible new users can receive up to 500MB of residential proxy traffic for testing.
Use channel code: PYTHONSCRAPE
👉 Start your test:
https://www.thordata.com/?ls=MQiAFqAo&lk=ps-02
Available to eligible new users. The actual trial traffic may vary, up to a maximum of 500MB.
Building a web scraper with Python?
ThorData helps developers collect public web data while handling proxy rotation, geo-targeting, and access restrictions.
✅ Residential IPs across 190+ countries
✅ Country, city, and ASN-level targeting
✅ Rotating and sticky sessions
✅ HTTP(S) and SOCKS5 support
✅ Works with Requests, Scrapy, Selenium, and Playwright
🎁 Exclusive offer for Machine Learning with Python members
Eligible new users can receive up to 500MB of residential proxy traffic for testing.
Use channel code: PYTHONSCRAPE
👉 Start your test:
https://www.thordata.com/?ls=MQiAFqAo&lk=ps-02
Available to eligible new users. The actual trial traffic may vary, up to a maximum of 500MB.
Thordata
Thordata - High-Quality Proxy Service for Web Data Scraping
Thordata's precision proxy solution was chosen to ensure seamless data collection. Enjoy the best prices and services tailored to your needs.
❤4👍1
Forwarded from Machine Learning with Python
Please open Telegram to view this post
VIEW IN TELEGRAM
❤3
This media is not supported in your browser
VIEW IN TELEGRAM
🔖 Python Reference for Data Science and Machine Learning
PY-DS-ML provides practical resources on 30 popular Python libraries for data analysis and machine learning.
You can quickly find the commands, syntax, and examples you need without having to search through extensive documentation.
It includes a search function, organization by difficulty level, cheat sheets, and checklists.
Link: https://py-ds-ml.ru/
#russian #ML
PY-DS-ML provides practical resources on 30 popular Python libraries for data analysis and machine learning.
You can quickly find the commands, syntax, and examples you need without having to search through extensive documentation.
It includes a search function, organization by difficulty level, cheat sheets, and checklists.
Link: https://py-ds-ml.ru/
#russian #ML
❤3
The correct way to learn is like this:
You simply need to solve problems and work on projects.
This approach was used in one of the best books on the fundamentals of statistics – and, incidentally, one of the few that I actually read.
It's very simple:
You read a chapter.
You solve all the problems related to that topic.
https://www.statlearning.com/
You simply need to solve problems and work on projects.
This approach was used in one of the best books on the fundamentals of statistics – and, incidentally, one of the few that I actually read.
It's very simple:
You read a chapter.
You solve all the problems related to that topic.
https://www.statlearning.com/
❤3