Wasserstein Distance Python Packages

time-causal-vae

Time-causal financial generative models: refactored TC-VAE baselines with causal VQ/RVQ tokenizers, token priors, S&P500/VIX, Hawkes/SVMHJD, multi-dimensional benchmarks, and path-risk diagnostics.

mat-discover

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

magnetstein

Tools for quantitative analysis of nuclear magnetic resonance (NMR) spectra using the Wasserstein metric.

ot1d

OT1D: Discrete Optimal Transport in 1D by Linear Programming

climate-error

Quantile Error Metrics for Wind Climates