Machine Learning with Python

My ads 🚨ELVANSE 70MG🚨 listen, an analysis of 5,000+ verified orders proves it: 🇬🇧TRAP PHARMA WORLDWIDE🇺🇲💊 delivers 99.8% legit, top-shelf strains with zero scams. That’s right-no jokers, just pure 🔥. Over 98% of users report satisfaction within 24 hours. Don’t get played by shady vendors-join the crew that vets every source professionally. Check this out 👉 Verified Strains & Deals. Real talk: this is the move if you want 100% legit, no BS. 💯📦📦

Pay for AI Services with Crypto Pay2.House Use crypto to pay for AI tools and subscriptions easily. ✔ ChatGPT, SaaS and more ✔ Works worldwide 💳 Virtual card 💰 Issue — $5 🔸 Start from $50 Ad. 18+

🚀 Own a Telegram Channel with 500+ Subscribers? You could be earning up to $100 daily with 🌌 Ads Galaxy 💰 Monetize your channel, receive paid ads automatically, and earn from real engagement — no stress, no manual work. 👉 Start now:

1500 Questions | GitHub Administration 2026 Master the GitHub Administration Practice exam! 1500 realistic practice questions with detailed explanations.... 🏷 Category: it-and-software 🌍 Language: English (US) 👥 Students: 15 students ⭐️ Rating: 0.0/5.0 (0 reviews) 🏃‍♂️ Enrollments Left: 84 ⏳ Expires In: 0D:30H:30M 💰 Price: $51.59 => FREE 🆔 Coupon: C3E5A128086A68E75AF5 ⚠️ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity. 💎 By: https://t.me/DataScienceC

🎉 Welcome to Ads Galaxy! Your channel has been successfully connected. Start earning by posting quality ads. How it works: ✅ Get matched with quality ads ✅ Post ads on your schedule ✅ Earn instantly Earning Potential: 💰 10K subscribers = up to $20/day 💰 50K+ subscribers = up to $50+/day No upfront costs. No stress. Just post and earn! 💵 📱 Visit Ads Galaxy

📱 Python enthusiasts, this is for you — 15 BEST REPOSITORIES on GitHub for learning Python ▶️ Awesome Python — https://github.com/vinta/awesome-python — the largest and most authoritative collection of frameworks, libraries, and resources for Python — a must-save ▶️ TheAlgorithms/Python — https://github.com/TheAlgorithms/Python — a huge collection of algorithms and data structures written in Python ▶️ Project-Based-Learning — https://github.com/practical-tutorials/project-based-learning — learning Python (and not only) through real projects ▶️ Real Python Guide — https://github.com/realpython/python-guide — a high-quality guide to the Python ecosystem, tools, and best practices ▶️ Materials from Real Python — https://github.com/realpython/materials — a collection of code and projects for Real Python articles and courses ▶️ Learn Python — https://github.com/trekhleb/learn-python — a reference with explanations, examples, and exercises ▶️ Learn Python 3 — https://github.com/jerry-git/learn-python3 — a convenient guide to modern Python 3 with tasks ▶️ Python Reference — https://github.com/rasbt/python_reference — cheat sheets, scripts, and useful tips from one of the most respected Python authors ▶️ 30-Days-Of-Python — https://github.com/Asabeneh/30-Days-Of-Python — a 30-day challenge: from syntax to more complex topics ▶️ Python Programming Exercises — https://github.com/zhiwehu/Python-programming-exercises — 100+ Python tasks with answers ▶️ Coding Problems — https://github.com/MTrajK/coding-problems — tasks on algorithms and data structures, including for preparation for interviews ▶️ Projects — https://github.com/karan/Projects — a list of ideas for pet projects (not just Python). Great for practice ▶️ 100-Days-Of-ML-Code — https://github.com/Avik-Jain/100-Days-Of-ML-Code — machine learning in Python in the format of a challenge ▶️ 30-Seconds-of-Python — https://github.com/30-seconds/30-seconds-of-python — useful snippets and tricks for everyday tasks ▶️ Geekcomputers/Python — https://github.com/geekcomputers/Python — various scripts: from working with the network to automation tasks React ♥️ for more posts like this 💛

🗂 Harvard has released a textbook on ML systems — from autograd to production Not just another "what is a neural network" course — this is about how to build combat-ready ML systems around models. What's inside: ▶️ Building autograd, optimizers, attention, and mini-PyTorch from scratch; ▶️ Batches, computational accuracy, architectures, and training; ▶️ Performance optimization, hardware acceleration, and benchmarking. You can read the book and the code for free right now. ✈️ Link to GitHub https://github.com/harvard-edge/cs249r_book

Don't forget to subscribe to the channel; it contains resources not available on Telegram.

⚡️ Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR — a full-fledged framework for restoring faces in videos. It can: 💬 BFR — improve blurry faces. 💬 Colorization — colorize black-and-white videos. 💬 Inpainting — redraw damaged areas. 💬 and combine all of this in one pass. Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source. ⚙️ Installation locally: 1. Create an environment

conda create -n svfr python=3.9 -y
conda activate svfr

2. Install PyTorch (for your CUDA)

pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2

3. Install dependencies

pip install -r requirements.txt

4. Download models

conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt

5. Start processing videos

python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region

Where task_ids: * 0 — face enhancement * 1 — colorization * 2 — redrawing damage An ideal tool if: 🟢you're restoring archival videos; 🟢you're creating historical content; 🟢you're working with neural networks and video effects; 🟢you want a wow result without paid services. ▶️ Demo on Hugging Face ♎️ GitHub/Instructions #python #soft #github https://t.me/CodeProgrammer

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

𝐕𝐢𝐬𝐮𝐚𝐥 𝐛𝐥𝐨𝐠 on Vision Transformers is live. https://vizuaranewsletter.com/p/vision-transformers?r=5b5pyd&utm_campaign=post&utm_medium=web Learn how ViT works from the ground up, and fine-tune one on a real classification dataset.

CNNs process images through small sliding filters. Each filter only sees a tiny local region, and the model has to stack many layers before distant parts of an image can even talk to each other. Vision Transformers threw that whole approach out. ViT chops an image into patches, treats each patch like a token, and runs self-attention across the full sequence. Every patch can attend to every other patch from the very first layer. No stacking required. That global view from layer one is what made ViT surpass CNNs on large-scale benchmarks. 𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐛𝐥𝐨𝐠 𝐜𝐨𝐯𝐞𝐫𝐬: - Introduction to Vision Transformers and comparison with CNNs - Adapting transformers to images: patch embeddings and flattening - Positional encodings in Vision Transformers - Encoder-only structure for classification - Benefits and drawbacks of ViT - Real-world applications of Vision Transformers - Hands-on: fine-tuning ViT for image classification The Image below shows Self-attention connects every pixel to every other pixel at once. Convolution only sees a small local window. That's why ViT captures things CNNs miss, like the optical illusion painting where distant patches form a hidden face. The architecture is simple. Split image into patches, flatten them into embeddings (like words in a sentence), run them through a Transformer encoder, and the class token collects info from all patches for the final prediction. Patch in, class out. Inside attention: each patch (query) compares itself to all other patches (keys), softmax gives attention weights, and the weighted sum of values produces a new representation aware of the full image, visualizes what the CLS token actually attends to through attention heatmaps. The second half of the blog is hands-on code. I fine-tuned ViT-Base from google (86M params) on the Oxford-IIIT Pet dataset, 37 breeds, ~7,400 images. 𝐁𝐥𝐨𝐠 𝐋𝐢𝐧𝐤 https://vizuaranewsletter.com/p/vision-transformers?r=5b5pyd&utm_campaign=post&utm_medium=web

𝐒𝐨𝐦𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 ViT paper dissection https://youtube.com/watch?v=U_sdodhcBC4 Build ViT from Scratch https://youtube.com/watch?v=ZRo74xnN2SI Original Paper https://arxiv.org/abs/2010.11929 https://t.me/CodeProgrammer

Master Python Programming: The Complete Beginner to Advanced Learn Python Programming from Scratch: Build Real-World Skills for Coding, Automation, and Data Science... 🏷 Category: development 🌍 Language: English (India) 👥 Students: 40,101 students ⭐️ Rating: 4.4/5.0 (1,110 reviews) 🏃‍♂️ Enrollments Left: N/A ⏳ Expires In: 0D:4H:4M 💰 Price: $28.55 => FREE 🆔 Coupon: JOSHFREE43 ⚠️ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity. 💎 By: https://t.me/DataScienceC

Python Data Analysis Bootcamp - Pandas, Seaborn and Plotly Complete, in-depth and pratical understanding of modern data analysis techniques.... 🏷 Category: it-and-software 🌍 Language: English (US) 👥 Students: 17,221 students ⭐️ Rating: 4.5/5.0 (113 reviews) 🏃‍♂️ Enrollments Left: 48 ⏳ Expires In: 0D:10H:10M 💰 Price: $9.59 => FREE 🆔 Coupon: F888C355AA9260F585D7 ⚠️ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity. 💎 By: https://t.me/DataScienceC

⭐️ Discover the best Telegram channels in Europe 🥇 Only top content & surprises for subscribers 🎁 🔽 Choose what interests you: 😂 Humor: @humordeu 😂 Humorkanal (DE): @humorkanal 😂 Humor (ES): @Canal_de_humor_ES ✈️ Travel: @travelsfotoD 🚗 Cars: @carnewD 💄 Beauty & Fashion: @sgvnova 🧠 Psychology & Relationships: @happywomenEU 🍳 Culinary: @culinaryD 🛍 Deals & Discounts: @BestenDeals 👉 Subscribe to all channels: https://t.me/addlist/_75yqMsY1JI5M2Ji 🛒 Want to advertise in these channels? ✉️ Contact: @sgv100 ✉️ Or message the channels directly ⭐ Best deals online: @BestenDeals 💸 Amazon, eBay & more discounts 🇩🇪 Top Telegram Channels in Germany: ➡️ @Topchannels_DE Sponsored By WaybienAds

🎁 23 Years of SPOTO – Claim Your Free IT Certs Prep Kit! 🔥Whether you're preparing for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification – SPOTO has got you covered! ✅ Free Resources : ・Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4lk4m3c ・IT Certs E-book: https://bit.ly/4bdZOqt ・IT Exams Skill Test: https://bit.ly/4sDvi0b ・Free AI material and support tools: https://bit.ly/46TpsQ8 ・Free Cloud Study Guide: https://bit.ly/4lk3dIS 👉 Become Part of Our IT Learning Circle! resources and support: https://chat.whatsapp.com/Cnc5M5353oSBo3savBl397 💬 Want exam help? Chat with an admin now! wa.link/rozuuw

Free Claude and gpt5 bot https://t.me/mira?start=ref_148350890