complexity estimation utility of neural network
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Updated
Jun 21, 2020 - Python
complexity estimation utility of neural network
benchmark pytorch models
PyTorch module FLOPS counter
Utilities to perform deep learning models benchmarking (number of parameters, FLOPS and inference latency)
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
【瑞士军刀般的工具】用最短的代码完成对模型的分析,包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等
MethodsCmp: A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods
Calculating FLOPs of Pre-trained Models in NLP
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
FLOPs and other statistics COunter for Pytorch neural networks
FLOPs and other statistics COunter for tf.keras neural networks
各种算法评价指标的实现(mAP/Flops/params/fps/error-rate/accuracy)
A toolkit for scaling law research ⚖
FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)
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