mle

😎 A curated list of awesome MLOps tools

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. 🎆 Code RAG

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

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

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

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

Loglikelihood Adjustment for Extreme Value Models

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

Practical solutions to the different subjects of Machine Learning

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.