:sunglasses: A curated list of awesome MLOps tools

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机器学习工程师、算法工程师、软件工程师、数据科学家-面试指南 | Interview guide for MLE, SDE, DS

Frouros: an open-source Python library for drift detection in machine learning systems.

Dirichlet MLE python library

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

Another A/B test library

In this repository, we deal with developing different estimators to localize Transvahan - the e-vehicle on IISc Campus using measurements from receivers at four different locations in IISc and implementing and evaluating the performance of the estimators that we have derived.

Demos for the MySQL Multi-Lingual Environment

Some examples on computing MLEs using TensorFlow

Documentation and interface declarations for MLE modules as provided in Oracle Database

TDOA Localisation using MLE and BLUE.

This repository contains examples of using various libraries/tools for MLOps.

Machine Learning 1 at TU Berlin

Chandler-Bate Sandwich Loglikelihood Adjustment

Maximum likelihood fits for low photon count data - For active develeopment visit gitlab.peulen.xyz

Practical solutions to the different subjects of Machine Learning

What to read to become Machine Learning Engineer in 2025

Analysis about univariate and bivariate MLE between the diagnosis group of 'Alzheimer's Disease', 'Mild Cognitive Impariment', and 'Cognitive Normal'.

介绍和举例（正态分布、泊松分布、伽马分布）展示了极大似然估计。This paper introduces and gives examples (normal distribution, Poisson distribution, gamma distribution) to show the MLE.

Non Linear Least squares solver and maximum Likelihood Estimation (MLE)

Loglikelihood Adjustment for Extreme Value Models

Estimation of natural selection and allele age from time series allele frequency data using a novel likelihood-based approach

IntrinsicDimEstimator is a Python module for estimating dataset intrinsic dimensionality, featuring multiple algorithms including CorrDim, NearNbDim, Packing Numbers, GMST, Eigenvalue Analysis, and MLE.

Emely is a Python package for parameter estimation for different noise models using maximum likelihood estimation (MLE). It’s built around scipy.optimize.minimize and mirrors the familiar scipy.optimize.curve_fit interface.

This repository is a self-contained ARIMA (AutoRegressive Integrated Moving Average) implementation in C

This repository includes problems 9-10 & exercises 10-14 of Bertsekas probability book chapter9

Audiotracks Recommender System, Author: Kirill N.

tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.

Построение кривых обеспеченности по гидрометеорологическим данным