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.

[CVPR 2024] On the Content Bias in Fréchet Video Distance

CPU/GPU/TPU implementation of the Fréchet Inception Distance

A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.

📈 The package allows you to check the similarity between two shapes/curves, using Frechet distance together with Procrustes analysis.

Frechet Audio Distance evaluation in PyTorch

Frechet Inception Distance for Keras-based GANs

Discrete Fréchet distance and of the minimum path required for traversing with it

Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

A toolkit for computing Fréchet Inception Distance (FID) & Fréchet Video Distance (FVD) metrics.

Experimental implementation of the paper 'Locality-Sensitive Hashing of Curves' published by A. Driemel and F. Silvestri

Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels

Lexicographic Fréchet Matchings with Degenerate Inputs

Implementation of Fréchet Distance with DINOv2 backbone in Pytorch.

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.

📈 kNN using LSH and Hypercube projection & Clustering using kMeans++ for n-dim polygonal curves and time series

A collection of libraries implementing Locality Sensitive Hashing (LSH), Clustering, and Applications of it.