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

Production-grade Employee Attrition Prediction system using FastAPI, Scikit-Learn, PyTorch, NLP embeddings, anomaly detection, drift monitoring and automated retraining.

This repository includes code for assessment presented in the tutorial.

key numerical, linear-algebra, optimization, and statistical techniques often used in machine learning and data analysis.

Estimation and simulation of Multi-binary response models

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

sum-check and other Interactive Proof primitives demo

GuardrailML is a machine learning project providing a FastAPI-based API for text classification and policy enforcement

Deployment of ML Models, Author: Kirill N.

Research code for beta model for random hypergraphs from Despina Stasi et al

MNIST Data set classification

Machine Learning 1 at TU Berlin

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

Data analysis using Principal Component Analysis (PCA), Eigenvalues, Covariance matrix, Maximum Likelihood Estimation (MLE), ISOMAP, & Image recognition

MLE, MAP, Bayesian Inference and Variational Autoencoders using MNIST datasset

Technikum Wien - Machine Learning Exercise 5 - Deep Learning

Practical solutions to the different subjects of Machine Learning

Ancestry Calculator for WeGene, It features population admixture model and MLE (Maximum Likelihood Estimation) algorithm to estimate admixture.

Maximum likelihood estimation for univariate Exponential model with R and Python