https://github.com/codebytemirza/tensorflow-pytorch-cheat-sheet
PyTorch vs TensorFlow This repository provides an in-depth comparison between PyTorch and TensorFlow, two of the most popular frameworks in the field of AI and Machine Learning. Whether you're a beginner or an expert, this resource will help you understand the core differences, strengths, and use cases of both frameworks.
https://github.com/codebytemirza/tensorflow-pytorch-cheat-sheet
ai deep-learning pytorch pytorch-tutorial tensorflow tensorflow-tutorials
Last synced: 9 months ago
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PyTorch vs TensorFlow This repository provides an in-depth comparison between PyTorch and TensorFlow, two of the most popular frameworks in the field of AI and Machine Learning. Whether you're a beginner or an expert, this resource will help you understand the core differences, strengths, and use cases of both frameworks.
- Host: GitHub
- URL: https://github.com/codebytemirza/tensorflow-pytorch-cheat-sheet
- Owner: codebytemirza
- Created: 2024-11-26T00:05:06.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-27T23:41:30.000Z (about 1 year ago)
- Last Synced: 2025-01-26T05:12:25.124Z (11 months ago)
- Topics: ai, deep-learning, pytorch, pytorch-tutorial, tensorflow, tensorflow-tutorials
- Homepage: https://www.linkedin.com/in/muhammad-abdullah-ai-ml-developer/
- Size: 37.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI Frameworks Comparison: PyTorch vs TensorFlow

Welcome to the **AI Frameworks Comparison** repository! This repository provides a detailed comparison between **PyTorch** and **TensorFlow**, two of the most widely used frameworks in AI and Machine Learning.
## 📚 Framework Cheat Sheets
[](PyTorch.md)
[](TensorFlow.md)
[](Deep-learning-theory-cheatSheet.md)
## ⚡ Framework Comparison
| Feature | PyTorch | TensorFlow |
| ---------------------------- | ------------------------------------- | --------------------------------- |
| **Ease of Use** | Intuitive, Pythonic API | High-level APIs with Keras |
| **Computation Graphs** | Dynamic (define-by-run) | Static computation graphs |
| **Preferred In** | Research and Development | Industry and Production-ready |
| **NLP & Generative AI Support** | Strong (Hugging Face, GPT, BERT) | Supports TensorFlow Hub and BERT |
| **Deployment** | PyTorch Serve, TorchScript, ONNX | TensorFlow Lite, TensorFlow.js, TensorFlow Serving |
| **Performance Optimization** | PyTorch Lightning, Mixed Precision | TensorFlow Profiler, Mixed Precision |
| **Best Use Case** | Flexibility for custom model building | Scalable solutions for production |
| **Ecosystem** | PyTorch Lightning, Hugging Face | TensorFlow Hub, TFX, TensorBoard |
## 🔍 How to Use
Both **PyTorch** and **TensorFlow** are powerful, but they have their own strengths depending on your project requirements:
- **Choose PyTorch** if you prefer a flexible, dynamic framework for research and experimentation.
- **Choose TensorFlow** if you're focused on production, scalability, or cross-platform deployment.
## 📥 Visit my LinkedIn Posts
### PyTorch LinkedIn Post
[](https://www.linkedin.com/embed/feed/update/urn:li:ugcPost:7266963942634110977)
### TensorFlow LinkedIn Post
[](https://www.linkedin.com/embed/feed/update/urn:li:ugcPost:7266963375186694145)
## 📞 Let's Connect!
Feel free to reach out if you have any questions or need help with AI and Machine Learning projects!
[](mailto:abdullahcodewizard@gmail.com)
[](tel:+923284119134)
[](https://www.linkedin.com/in/muhammad-abdullah-ai-ml-developer/)