reduce-ml-cost-with-quantization-pruning
PublicThis project demonstrates the impact of model design choices on both energy consumption and economic cost. It analyzes the weight importance within a neural network, estimates the total FLOPs required for inference, and explores how quantization and pruning affect resource efficiency.
cost-optimizationefficiencymachine-learningneural-networkneural-networkspruningquantizationquantization-efficient-network
Creat：2025-07-04T23:13:20
Update：2025-07-06T02:18:04
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