There are 1 repository under frechet-distance topic.
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
A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.
:chart_with_upwards_trend: The package allows you to check the similarity between two shapes/curves, using Frechet distance together with Procrustes analysis.
Experimental implementation of the paper 'Locality-Sensitive Hashing of Curves' published by A. Driemel and F. Silvestri
:chart_with_upwards_trend: kNN using LSH and Hypercube projection & Clustering using kMeans++ for n-dim polygonal curves and time series
Collection of clustering algorithms for polygonal curves.
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.
A collection of libraries implementing Locality Sensitive Hashing (LSH), Clustering, and Applications of it.
Asynchronous, synchronous and RPC (TF) Fréchet Inception Distance (FID) calculation.
📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.
Interactive visualization of the Fréchet freespace ellipse
Clustering for molecular configurations
Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels
A Manim animated presentation of the Fréchet distance, it's use cases, variants and algorithms.
Read from csv file and compute the Frechet distance of the two curves.