Search Packages

ultralytics-thop

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

ptflops

Flops counter for neural networks in pytorch framework

calflops

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

torchscan

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

flopco-keras

FLOPs and other statistics COunter for TF.keras neural networks

flopsmeter

FLOPs & Complexity Calculator for PyTorch Deep Learning Model