Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)

Gauss Naive Bayes in Python From Scratch.

A Python implementation of Naive Bayes from scratch.

🐙: Maximum likelihood model estimation using scipy.optimize

Developed a Windows-based app for analyzing data distributions and identifying the best-fitted distribution using the Maximum Likelihood Estimation algorithm. The app features histogram analysis, error ranking, and allows users to directly save results along with distribution charts.

Python tools for working with the IceCube public data.

Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"

A statistical learning toolkit for high-dimensional Hawkes processes in Python

LAML is a maximum likelihood algorithm to infer cell phylogeny from dynamic lineage tracing data

A public Python package to perform quantum state tomography through maximum likelihood estmation

Computation and inference on exact solutions of coalescent distributions under diverse demographic scenarios.

Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.

MIST: a metagenomic intra-species typing tool.

A Python implementation of the Fisher Scoring algorithm

Neural networks for non-linear parameter estimation in SDE with memory.

A Python package for computing NPMLE of mixture of regression

Arbitrage-free Dynamic Generalized Nelson-Siegel model of interest rates following Christensen, Diebold and Rudebusch; and its estimation using the Kalman filter / maximum likelihood.

🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood

Regression algorithm implementaion from scratch with python (OLS, LASSO, Ridge, robust regression)