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Awesome GitHub RepositoriesPoly-Kernel Inception Modules
Modules using multiple parallel depthwise convolutions with various kernel sizes and dilations.
Distinct from Convolutional Kernel Optimizations: Specific multi-branch inception-style architecture for kernel variety, not just general kernel optimization.
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Awesome Poly-Kernel Inception Modules GitHub Repositories
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- ai-dawang/plugnplay-modules
ai-dawang/PlugNPlay-Modules
4,968Vezi pe GitHubPlugNPlay-Modules is a collection of reusable PyTorch computer vision modules and deep learning architectural components. It provides a library of standardized building blocks for constructing neural networks, focusing on attention mechanisms, signal processing layers, and feature fusion modules. The project is distinguished by its extensive variety of attention primitives, covering spatial, channel, and temporal weighting, as well as specialized variants like deformable, frequency-enhanced, and linear-complexity attention. It also implements advanced signal processing tools within the neural
Provides Poly Kernel Inception Blocks that process features through parallel depthwise convolutions with varying dilations.
Python
