Rust Maximum-likelihood-estimation Resources

kernel-density-estimation Kernel density estimation in Rust. Kernel density estimation (KDE) is a non-parametric method to estimate the probability de

Mora Mora is an read re-assigner that re-assigns query reads to a unique reference. Main steps of Mora: Calculate the expected abundance levels of the

Probabilistic Principal Component Analysis (PPCA) model This project implements a PPCA model implemented in Rust for Python using pyO3 and maturin. In

Pod Lifetime Limiter Hi! 👋 So you deal with a crappy application which stops working after some period of time and you want to restart it every N hou

rkyv_codec Simple async codec for rkyv. Reuses streaming buffer for maximum speed! This crate provides a makeshift adaptor for streaming &ArchivedObj

winsfs winsfs is a tool for inference of the site frequency spectrum ("SFS"). Quickstart Assuming SAF files have already been made, default estimation

onionfans Onlyfans-type web service based on TOR with maximum privacy features. Features "Vanishing" single-use feed CDN links Landing page No JavaScr

mrmr Maximum Relevance - Minimum redundancy feature selection algorithm implemented in Rust. Usage CLI app. It gets input from a csv dataset with head

Estimation bot 🤖 What's estimation? The card game Estimation is a trick-taking game where you score points by correctly predicting the amount of tric

Untrusted IPC with maximum performance and minimum latency. On Rust, on Linux. When is this Rust crate useful? Performance or latency is crucial, and