#Deep Neural Network Compression

Discover an extensive array of papers, summaries, and codes concerning deep neural network compression methods such as quantization, pruning, and distillation. This resource explores network architecture search, adversarial robustness, NLP compression, and efficient model design, providing access to tools like DeepSpeed, ColossalAI, and PocketFlow, along with comprehensive summaries that connect theory with practical applications in model optimization.