LinkAnJarad/Torch-Modules-Compilation
A compilation of implementations of various ML papers, especially in computer vision.
This project provides pre-built, optimized building blocks for computer vision models. It helps researchers and practitioners quickly implement and test advanced neural network architectures, taking image feature maps as input and refining them to improve model performance. This is for machine learning engineers and researchers focused on computer vision tasks.
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Use this if you are developing computer vision models and need to integrate specific, well-researched architectural components like attention mechanisms or specialized convolutional blocks without implementing them from scratch.
Not ideal if you are a beginner looking for a complete, end-to-end computer vision solution, or if your primary focus is on natural language processing or tabular data.
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Language
Python
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Last pushed
Jan 13, 2023
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