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#Pytorch Reel by @code_helping - A neural network visualizer that shows how an MLP learns step by step. Runs in the browser, trained with PyTorch, and works best on desktop. . Source:
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@code_helping
A neural network visualizer that shows how an MLP learns step by step. Runs in the browser, trained with PyTorch, and works best on desktop. . Source: 🎥 DFinsterwalder (X) . . #coding #programming #softwaredevelopment #computerscience #cse #software #ai #ml #machinelearning #computer #neuralnetwork #mlp #ai #machinelearning #deeplearning #visualization #threejs #pytorch #webapp #tech
#Pytorch Reel by @amd (verified account) - "I think Al is entering a phase where it used to be a lot of research that had a few niche benefits in the world to becoming very tangible to almost e
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@amd
“I think Al is entering a phase where it used to be a lot of research that had a few niche benefits in the world to becoming very tangible to almost every walk of life.” Soumith Chintala, Founder of PyTorch at @Meta shares what he’s most excited for in the future of Al and our unique collaboration. #ML #Al #PyTorch #AMD #TogetherWeAdvance
#Pytorch Reel by @awsdevelopers (verified account) - 🔍 Curious about PyTorch? Let's break down this powerful machine learning framework in 64 seconds! PyTorch helps developers: 🚀 Build and train neur
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@awsdevelopers
🔍 Curious about PyTorch? Let's break down this powerful machine learning framework in 64 seconds! PyTorch helps developers: 🚀 Build and train neural networks faster 🔄 Create dynamic computational graphs 🎯 Deploy models with production-level performance ⚡️ Accelerate development with pre-trained models Perfect for: 📊 Data scientists exploring deep learning 💻 Developers building AI applications 🎓 Students learning machine learning Ready to supercharge your ML projects? Try the Amazon Graviton optimized binaries for PyTorch! Get started via link in bio 🔗 Follow @awsdevelopers for more cloud content ————————— 🏷 #AWS #MachineLearning #PyTorch #ArtificialIntelligence #CloudComputing
#Pytorch Reel by @parasmadan.in (verified account) - He has close to 1,50,000 citations and hindex of 36 #pytorch #meta #india
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@parasmadan.in
He has close to 1,50,000 citations and hindex of 36 #pytorch #meta #india
#Pytorch Reel by @inteldevs (verified account) - We've got two insightful stories for you in the latest episode of oneAPI Dev News. Watch the full episode on YouTube to learn how to use Codeplay tool
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@inteldevs
We’ve got two insightful stories for you in the latest episode of oneAPI Dev News. Watch the full episode on YouTube to learn how to use Codeplay tools to migrate CUDA code to SYCL and how to optimize large language models (LLMs) on Intel hardware.
#Pytorch Reel by @lionsoulbatyshchikov - ЛЕГИОН - ссылка в шапке @lionsoulbatyshchikov перепрошивка навыков Хочешь в Machine Learning, но не знаешь, с чего начать? Вот реальный 12-месячны
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@lionsoulbatyshchikov
ЛЕГИОН - ссылка в шапке @lionsoulbatyshchikov перепрошивка навыков Хочешь в Machine Learning, но не знаешь, с чего начать? Вот реальный 12-месячный план, по которому учатся те, кто потом реально выходит на работу: 📌 1 месяц — Python, математика, визуализации 📌 2 месяц — supervised / unsupervised, регрессии, метрики 📌 3 месяц — деревья, Random Forest, кластеризация, KNN 📌 4 месяц — основы нейросетей, PyTorch / TensorFlow 📌 5 месяц — RNN, LSTM, оптимизация моделей, Hugging Face 📌 6 месяц — деплой: Docker, облачные сервисы 📌 7–8 — реальные проекты 📌 9–12 — подготовка к работе: портфолио, интервью, GitHub #machinelearning #pytorch #algorithms #ai #it
#Pytorch Reel by @oreshihon.atsushi.iida - [New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to vi
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@oreshihon.atsushi.iida
[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs are automatically excluded — ⚙️ Physics Calculations Support Force Distribution Inverse Distance Weighting (IDW) Body weight distributed based on distance from center of gravity to each support point — 📊 Output | Metric | Unit | Display Location | |———————|——|——————| | Hand support force | kg | Near wrist | | Foot support force | kg | Near ankle | | Shoulder torque | Nm | Shoulder joint | | Elbow torque | Nm | Elbow joint | | Hip torque | Nm | Hip joint | | Knee torque | Nm | Knee joint | Color Map: Green (low load) → Yellow (medium load) → Red (high load) — 💡 Applications Identify high-injury-risk movesLearn efficient weight transferMonitor training load Future plans include integration with musculoskeletal models like OpenSim for muscle force estimation. — #bouldering #climbing #rockclimbing #AI #MachineLearning #DeepLearning #PoseEstimation #RTMPose #MMPose #OpenMMLab #PyTorch #ComputerVision #Biomechanics #Physics #InverseKinematics #JointTorque #MotionCapture #MotionAnalysis #SportsScience #SportsTech #OpenCV #Python #CUDA #EdgeAI #RealTimeProcessing #KeypointDetection #HumanPoseEstimation #3DPose #DepthEstimation #IndieGameDev
#Pytorch Reel by @stephen_blum_code - Learn PyTorch deeply now, then use AI faster later confidently. #pytorch #learning #coding
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@stephen_blum_code
Learn PyTorch deeply now, then use AI faster later confidently. #pytorch #learning #coding
#Pytorch Reel by @codecademy (verified account) - PyTorch vs TensorFlow: What's the difference and which one should you learn? If you're diving into machine learning or building your first neural net
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@codecademy
PyTorch vs TensorFlow: What’s the difference and which one should you learn? If you’re diving into machine learning or building your first neural network, you’ve probably seen these names come up everywhere! The TL;DR is: 💡 PyTorch = intuitive, dynamic, and easier to learn 🚀 TensorFlow = scalable, versatile, and great for deployment But truthfully, you can’t go wrong with either! And we have beginner-friendly courses to help you get started with both. #PyTorch #TensorFlow #DeepLearningFrameworks #MachineLearning #AIFrameworks #NeuralNetworks #LearnMachineLearning #DataScience #AIforBeginners #CodingForAI #MLFrameworks
#Pytorch Reel by @deeprag.ai - Me attending class with people who don't know TensorFlow, PyTorch, Scikit-Learn, NumPy, Pandas, Keras, OpenCV, Matplotlib, or Jupyter Notebook is… In
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@deeprag.ai
Me attending class with people who don’t know TensorFlow, PyTorch, Scikit-Learn, NumPy, Pandas, Keras, OpenCV, Matplotlib, or Jupyter Notebook is… In the world of AI & Machine Learning, these tools aren’t advanced, they’re fundamental. From building neural networks in TensorFlow/PyTorch to data cleaning with Pandas, visualization with Matplotlib, and computer vision with OpenCV, these are the core building blocks every AIML student eventually needs. But many beginners don’t realize that mastering these libraries is what separates basic coding from real AI engineering. If you're learning AIML, understanding these tools early on gives you a massive advantage in projects, internships, and future research. 👉 Follow @deeprag.AI for more AI insights, learning tips, and the smartest ways to grow in the AIML world. . . . . #AIMLStudents #MachineLearningLife #AIStudentStruggles #TensorFlow #PyTorch #DataScienceLife #deepragAI #AIMLEngineer #LearnML #CodingMeme #TechReels #MLTools #AIDevelopment #StudentLifeReels #FutureOfAI #PythonLibraries #MLCommunity #AIJourney
#Pytorch Reel by @ai.india - PyTorch vs TensorFlow - which one should YOU use? PyTorch = flexible, simple, perfect for learning & research. TensorFlow = powerful, scalable, perfe
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@ai.india
PyTorch vs TensorFlow — which one should YOU use? PyTorch = flexible, simple, perfect for learning & research. TensorFlow = powerful, scalable, perfect for production & deployment. 🎨 PyTorch is your sketchbook. 🏭 TensorFlow is your factory. Both are game-changers… but the real question is: 👉 Which team are you on? PyTorch or TensorFlow? Drop your side in the comments ⬇️ Hashtags: #pytorch #tensorflow #MachineLearning #DeepLearning #AItools #AIFrameworks #NeuralNetworks #ArtificialIntelligence #AIcommunity #codinglife #airesearch #techreels #datascience #mlops #aiexplained #futureofai #aiengineer #aivsai
#Pytorch Reel by @coding.ninjas (verified account) - The secret sauce behind Face ID, self-driving cars & your Insta feed.🔥 Now don't be shy just comment "Py" #pytorch #datascience #machinelearning #ai
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@coding.ninjas
The secret sauce behind Face ID, self-driving cars & your Insta feed.🔥 Now don’t be shy just comment “Py” #pytorch #datascience #machinelearning #ai #learnpython [PyTorch, deep learning, AI models, self driving, face id, recommendation systems, python]

✨ #Pytorch Discovery Guide

Instagram hosts 172K posts under #Pytorch, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.

#Pytorch is one of the most engaging trends on Instagram right now. With over 172K posts in this category, creators like @oreshihon.atsushi.iida, @parasmadan.in and @code_helping are leading the way with their viral content. Browse these popular videos anonymously on Pictame.

What's trending in #Pytorch? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.

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Content Performance Insights

Analysis of 12 reels

✅ Moderate Competition

💡 Top performing posts average 369.0K views (2.7x above average). Moderate competition - consistent posting builds momentum.

Post consistently 3-5 times/week at times when your audience is most active

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💡 Top performing content gets over 10K views - focus on engaging first 3 seconds

📹 High-quality vertical videos (9:16) perform best for #Pytorch - use good lighting and clear audio

✍️ Detailed captions with story work well - average caption length is 563 characters

✨ Many verified creators are active (50%) - study their content style for inspiration

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