Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

🛠 Toolbox to extend PyTorch functionalities

AI and Memory Wall

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

Estimate/count FLOPS for a given neural network using pytorch

Count number of parameters / MACs / FLOPS for ONNX models.

A small OpenCL benchmark program to measure peak GPU/CPU performance.

FLOPs and other statistics COunter for Pytorch neural networks

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption

A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.

FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)

各种算法评价指标的实现（mAP/Flops/params/fps/error-rate/accuracy）

CPU Benchmarking Tool which calculates IOPS and FLOPS.

MethodsCmp: A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods

FLOPs and other statistics COunter for tf.keras neural networks

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.

A toolkit for scaling law research ⚖

Computing FLOPs with Intel Software Development Emulator (Intel SDE)

Calculating FLOPs of Pre-trained Models in NLP