Master PyTorch Faster with These Free Resources!
Whether you're just getting started with PyTorch or looking to refresh your deep learning skills, these two resources are all you need:
1. PyTorch Cheatsheet
A concise reference guide packed with essential PyTorch commands and patterns. Perfect for quick look-ups during development.
Download:
https://www.dropbox.com/scl/fi/e4xngykrfoubiw3xnd6fz/PyTorch-Cheatsheet.pdf?rlkey=vgx38ckps7aie120imgozgq4g&e=2&st=hgs06d4t&dl=0
2. Learn PyTorch Deep Learning with Hands-On Code
A beginner-friendly PDF with practical examples to help you build and train deep learning models using PyTorch from scratch.
Download:
https://www.dropbox.com/scl/fi/lfo7r6fnd8wjm3gp0jteh/Learn-PyTorch-Deep-Learning-with-Hands-On-Code.pdf?rlkey=mg9cxg41yerouzp0rklm8hqa2&e=2&st=c7k7rgay&dl=0
Save them, share them, and start building smarter models today!
#PyTorch #DeepLearning #AIResources #MachineLearning #Python #Cheatsheet #HandsOnAI
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
Whether you're just getting started with PyTorch or looking to refresh your deep learning skills, these two resources are all you need:
1. PyTorch Cheatsheet
A concise reference guide packed with essential PyTorch commands and patterns. Perfect for quick look-ups during development.
Download:
https://www.dropbox.com/scl/fi/e4xngykrfoubiw3xnd6fz/PyTorch-Cheatsheet.pdf?rlkey=vgx38ckps7aie120imgozgq4g&e=2&st=hgs06d4t&dl=0
2. Learn PyTorch Deep Learning with Hands-On Code
A beginner-friendly PDF with practical examples to help you build and train deep learning models using PyTorch from scratch.
Download:
https://www.dropbox.com/scl/fi/lfo7r6fnd8wjm3gp0jteh/Learn-PyTorch-Deep-Learning-with-Hands-On-Code.pdf?rlkey=mg9cxg41yerouzp0rklm8hqa2&e=2&st=c7k7rgay&dl=0
Save them, share them, and start building smarter models today!
#PyTorch #DeepLearning #AIResources #MachineLearning #Python #Cheatsheet #HandsOnAI
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Datasets Guide 📚
A practical and beginner-friendly guide that walks you through everything you need to know about datasets in machine learning and deep learning. This guide explains how to load, preprocess, and use datasets effectively for training models. It's an essential resource for anyone working with LLMs or custom training workflows, especially with tools like Unsloth.
Importance:
Understanding how to properly handle datasets is a critical step in building accurate and efficient AI models. This guide simplifies the process, helping you avoid common pitfalls and optimize your data pipeline for better performance.
Link: https://docs.unsloth.ai/basics/datasets-guide
#MachineLearning #DeepLearning #Datasets #DataScience #AI #Unsloth #LLM #TrainingData #MLGuide
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
A practical and beginner-friendly guide that walks you through everything you need to know about datasets in machine learning and deep learning. This guide explains how to load, preprocess, and use datasets effectively for training models. It's an essential resource for anyone working with LLMs or custom training workflows, especially with tools like Unsloth.
Importance:
Understanding how to properly handle datasets is a critical step in building accurate and efficient AI models. This guide simplifies the process, helping you avoid common pitfalls and optimize your data pipeline for better performance.
Link: https://docs.unsloth.ai/basics/datasets-guide
#MachineLearning #DeepLearning #Datasets #DataScience #AI #Unsloth #LLM #TrainingData #MLGuide
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Master Machine Learning in Just 20 Days.1745724742524
30.8 MB
Title:
Master Machine Learning in Just 20 Days - Your Ultimate Guide! 🔥
Description:
Struggling to break into Data Science or ace ML interviews at top product-based companies?
This 20-day roadmap covers ML basics to advanced topics like tuning, deep learning, and deployment with top resources and practice questions!
What’s Inside:
✅ Supervised & Unsupervised Learning – Regression, Classification, Clustering
✅ Deep Learning & Neural Networks – CNNs, RNNs, LSTMs
✅ End-to-End ML Projects – Data Preprocessing, Feature Engineering, Deployment
✅ Model Optimization – Hyperparameter Tuning, Ensemble Methods
✅ Real-World ML Applications – NLP, AutoML, Scalable ML Systems
#MachineLearning #DeepLearning #DataScience #ArtificialIntelligence #MLEngineering #CareerGrowth #MLRoadmap
By: t.me/HusseinSheikho✅
💯 BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
Master Machine Learning in Just 20 Days - Your Ultimate Guide! 🔥
Description:
Struggling to break into Data Science or ace ML interviews at top product-based companies?
This 20-day roadmap covers ML basics to advanced topics like tuning, deep learning, and deployment with top resources and practice questions!
What’s Inside:
✅ Supervised & Unsupervised Learning – Regression, Classification, Clustering
✅ Deep Learning & Neural Networks – CNNs, RNNs, LSTMs
✅ End-to-End ML Projects – Data Preprocessing, Feature Engineering, Deployment
✅ Model Optimization – Hyperparameter Tuning, Ensemble Methods
✅ Real-World ML Applications – NLP, AutoML, Scalable ML Systems
#MachineLearning #DeepLearning #DataScience #ArtificialIntelligence #MLEngineering #CareerGrowth #MLRoadmap
By: t.me/HusseinSheikho
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Full PyTorch Implementation of Transformer-XL
If you're looking to understand and experiment with Transformer-XL using PyTorch, this resource provides a clean and complete implementation. Transformer-XL is a powerful model that extends the Transformer architecture with recurrence, enabling learning dependencies beyond fixed-length segments.
The implementation is ideal for researchers, students, and developers aiming to dive deeper into advanced language modeling techniques.
Explore the code and start building:
https://www.k-a.in/pyt-transformerXL.html
#TransformerXL #PyTorch #DeepLearning #NLP #LanguageModeling #AI #MachineLearning #OpenSource #ResearchTools
https://t.me/CodeProgrammer
If you're looking to understand and experiment with Transformer-XL using PyTorch, this resource provides a clean and complete implementation. Transformer-XL is a powerful model that extends the Transformer architecture with recurrence, enabling learning dependencies beyond fixed-length segments.
The implementation is ideal for researchers, students, and developers aiming to dive deeper into advanced language modeling techniques.
Explore the code and start building:
https://www.k-a.in/pyt-transformerXL.html
#TransformerXL #PyTorch #DeepLearning #NLP #LanguageModeling #AI #MachineLearning #OpenSource #ResearchTools
https://t.me/CodeProgrammer