Shypd.aiThe largest open index of AI toolsAwesome-model-compression-and-acceleration is an Open Source & Models tool that provides a curated list of papers and resources for optimizing deep neural networks. It covers techniques like model compression, acceleration, quantization, and pruning.
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Awesome-model-compression-and-acceleration is a comprehensive GitHub repository dedicated to collecting and organizing research papers and resources on model compression and acceleration for deep neural networks. The repository categorizes papers by technique, including model and structure optimization (e.g., MobileNet, NasNet), quantization, pruning, binarized neural networks, low-rank approximation, and knowledge distillation. It also features sections on system-level optimizations and general optimization techniques. This resource is ideal for researchers, developers, and students looking to make deep learning models smaller, faster, and more efficient for various applications, especially on mobile and embedded devices. The curated list helps users stay updated with recent advances in the field.
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