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A collection of code snippets covering the basic fundamentals of PyTorch, including tensors, autograd, neural networks, and optimization.

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samyo00/pyTorch

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Hi there 👋 I’ve been diving deep into the PyTorch framework, which has become my go-to tool for building and experimenting with neural networks. After following Patrick Loeber’s PyTorch tutorial playlist https://www.youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4 I’ve created a series of projects that showcase what I’ve learned and my progress in the field.

🧠 What I’ve Been Learning

  • PyTorch framework for deep learning
  • Building and training neural networks from scratch
  • Computer vision and NLP applications
  • Optimization techniques to enhance model performance
  • Implementing transfer learning and fine-tuning with pre-trained models

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A collection of code snippets covering the basic fundamentals of PyTorch, including tensors, autograd, neural networks, and optimization.

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