Shypd.aiThe largest open index of AI toolsAwesome-Deep-Neural-Network-Compression is an open-source research tool that provides a comprehensive collection of papers, summaries, and code for deep neural network compression. It covers various techniques like quantization, pruning, and distillation.
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Awesome-Deep-Neural-Network-Compression is a valuable open-source resource for researchers and practitioners focused on optimizing deep neural networks. This GitHub repository compiles an extensive collection of academic papers, detailed summaries, and practical code implementations related to network compression techniques. It specifically covers key areas such as quantization, pruning (both unstructured and structured), and distillation. The resource is organized by topic, including efficient model design, network architecture search (NAS) for compression, NLP compression, and compression for large pretraining models. It also categorizes papers by conference year and includes related topics like optimization and meta-learning, making it an essential hub for staying current in the field of efficient deep learning.
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