fabioperez/pytorch-examples

Tutorials, examples, and projects implemented with PyTorch

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This collection provides practical examples and tutorials for building machine learning models specifically for image-related tasks. It shows how to prepare image datasets, apply techniques like data augmentation to improve model performance, and create models for classifying or segmenting images. This is for machine learning practitioners, researchers, and students who want to build and experiment with computer vision models.

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Use this if you are developing or learning about computer vision applications and need concrete PyTorch implementations for tasks like image classification and segmentation.

Not ideal if you are looking for examples in natural language processing, tabular data analysis, or other non-image-based machine learning domains.

computer-vision image-classification image-segmentation machine-learning-education deep-learning-practice

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Jupyter Notebook

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MIT

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