😎 A curated list of awesome MLOps tools

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

Dirichlet MLE python library

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

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

Demos for the MySQL Multi-Lingual Environment

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.

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

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

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.

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

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