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flops-analysis

Here are 3 public repositories matching this topic...

AngelLagr / weight-usage-analyzer

WeightUsageAnalyzer is a lightweight toolkit for analyzing the effective use of weights in neural networks. It provides quantitative metrics (entropy, coverage, FLOPs) and visualizations to identify redundant parameters and guide model simplification, compatible with both PyTorch and TensorFlow.

machine-learning ai neural-network toolkit tensorflow keras torch pytorch pruning weight keras-tensorflow weights-visualization flops-analysis

Updated Jul 7, 2025
Python

0526PHOENIX / flopsmeter

FLOPs & Complexity Calculator for PyTorch Deep Learning Model

deep-learning pytorch cnn-model complexity-analysis flops-counter flops-analysis

Updated May 10, 2025
Python

KalashSathawane / weight-usage-analyser

Analyze neural network weight usage with WeightUsageAnalyzer. Optimize your models in PyTorch and TensorFlow for efficiency and performance. 🐙💻

machine-learning ai neural-network toolkit tensorflow keras torch pytorch pruning weight network-analysis keras-tensorflow weights-visualization flops-analysis

Updated Jul 14, 2025
Python

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