Build glorious random walks.
Core tensor types, views, and axis metadata for TenRSo
A package to populate nalgebra's vector, matrix and vector of matrices with standard normal random variables in parallel.
A multi-threaded crate for random number generation and stochastic process simulation, with optional GPU acceleration.
Systematic Error Removal using Random Forests (SERRF) normalization for metabolomics data
Random multi-variate normal generation using nalgebra
Main crate for IJzer. Provides a macro for using IJzer in a rust project, and a prelude with dependencies..
Synthetic cancer sequencing test data generator
Tensor decompositions: CP-ALS, Tucker-HOOI, TT-SVD
JAX in Rust - A complete machine learning framework with WebGPU acceleration.
Normal and Truncated Normal distributions
A Rust implementation inspired by NumPy for numerical computing (NumRS2)
Random number generator from a multivariate normal distribution.
Generates Normally Distributed, Random Numbers
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