Compute FID scores with PyTorch.
-
Updated
Mar 18, 2024 - Python
Compute FID scores with PyTorch.
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
Quantify the difference between two arbitrary curves in space
IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
CPU/GPU/TPU implementation of the Fréchet Inception Distance
📈 The package allows you to check the similarity between two shapes/curves, using Frechet distance together with Procrustes analysis.
Frechet Inception Distance for Keras-based GANs
A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.
Frechet Audio Distance evaluation in PyTorch
Experimental implementation of the paper 'Locality-Sensitive Hashing of Curves' published by A. Driemel and F. Silvestri
Neighbor Search and Clustering for Time-Series using Locality-sensitive hashing and Randomized Projection to Hypercube. Time series comparison is performed using Discrete Frechet or Continuous Frechet metric.
Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels
📈 kNN using LSH and Hypercube projection & Clustering using kMeans++ for n-dim polygonal curves and time series
A toolkit for computing Fréchet Inception Distance (FID) & Fréchet Video Distance (FVD) metrics.
Interactive visualization of the Fréchet freespace ellipse
A Manim animated presentation of the Fréchet distance, it's use cases, variants and algorithms.
A collection of libraries implementing Locality Sensitive Hashing (LSH), Clustering, and Applications of it.
Near neighbor searching and clustering using LSH
Add a description, image, and links to the frechet-distance topic page so that developers can more easily learn about it.
To associate your repository with the frechet-distance topic, visit your repo's landing page and select "manage topics."