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Web performance library for measuring all performance vitals metrics
Compute FID scores with PyTorch.
Measures and metrics for image2image tasks. PyTorch.
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
Web Vitals: Essential module for a healthy project
前端性能指标的监控,采集以及上报。用于测量第一个dom生成的时间(FP/FCP/LCP)、用户最早可操作时间(fid|tti)和组件的生命周期性能,,网络状况以及资源大小等等。向监控后台报告实际用户测量值。
Hydrate your React components only when you need to.
Simple tools to track and improve your Web Vitals scores
IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Pytorch implementation of common GAN metrics
An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.
Simple tool to convert Agilent, Bruker and Varian FID files to sound.
A simple wrapper around @mseitzer's great pytorch-fid work to compute Fréchet Inception Distance in-memory from batches of images, using PyTorch
Built and trained SISR GAN models with loss analysis and performance comparison (TF + Keras)
In this repository, we deal with the task of implementing Generative Adversarial Networks (GANs) using the CIFAR-10 dataset. Two popular GANs: DCGAN and SAGAN are implemented. The performance of the network is evaluated using the FID score.
Asynchronous, synchronous and RPC (TF) Fréchet Inception Distance (FID) calculation.
Architectural drawing classification with deep learning.
Pytorch implementation of popular generative models
This is a mod to enable loading Ordnance Survey MasterMap (OSMM) topographic layer GML file via OpenJump API