Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
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Updated
Dec 27, 2023 - Python
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Gauss Naive Bayes in Python From Scratch.
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
A Python implementation of Naive Bayes from scratch.
🐙: Maximum likelihood model estimation using scipy.optimize
Python tools for working with the IceCube public data.
Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
A public Python package to perform quantum state tomography through maximum likelihood estmation
Neural networks for non-linear parameter estimation in SDE with memory.
MIST: a metagenomic intra-species typing tool.
A Python package for computing NPMLE of mixture of regression
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
Newton-based maximum likelihood estimation in nonlinear state space models
Statistics and Machine Learning in depth analysis with Tensorflow Probability
LAML is a maximum likelihood algorithm to infer cell phylogeny from dynamic lineage tracing data
regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust 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.
Code for optimising an objective function
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.
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