awesome-model-compression-and-acceleration
github.com/sun254/awesome-model-compression-and-acceleration ↗a list of awesome papers on deep model ompression and acceleration
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
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Paper
- Accelerating Very Deep Convolutional Networks for Classification and Detection
- Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration
- Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
- Compressing Deep Convolutional Networks using Vector Quantization
- Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
- Convolutional neural networks with low-rank regularization
Showing a sample of 69 resources. View the full list on GitHub →