expectation-maximization 开源项目推荐（301 个）

siavashk /pycpd

Pure Numpy Implementation of the Coherent Point Drift Algorithm

je-suis-tm /machine-learning

图像处理、推荐系统、矩阵补全、Netflix问题及算法实现中的Python机器学习应用，包括共聚类、Funk SVD、SVD++、非负矩阵分解、Koren邻域模型、Koren集成模型、Dawid-Skene、Platt-Burges、期望最大化、因子分析、ISTA、FISTA、ADMM、高斯混合模型、OPTICS、DBSCAN、随机森林、决策树、支持向量机、独立分量分析、潜在语义索引、主成分分析、奇异值分解、K个最近邻、K个均值、朴素贝叶斯混合模型、高斯判别分析、牛顿法、坐标下降、梯度下降、弹性净回归、脊回归、套索回归、最小二乘、逻辑回归、线性回归

psaris /funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Labo-Lacourse /stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

mr-easy /GMM-EM-Python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

cambridge-mlg /DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

m-clark /models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

soroosh-rz /Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning

sukrutrao /Fast-Dawid-Skene

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

GFNOrg /GFlowNet-EM

Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.

manuwhs /Trapyng

Python library to implement advanced trading strategies using machine learning and perform backtesting.

ajcr /em-explanation

Notebooks explaining the intuition behind the Expectation Maximisation algorithm

moucheng2017 /EM-BPL-Semi-Seg

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

francois-rozet /diem

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

corradomonti /learnable-opinion-dynamics

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

dmetivie /ExpectationMaximization.jl

A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.

davpinto /ml-simulations

Animated Visualizations of Popular Machine Learning Algorithms

Xinglab /CLAM

CLIP-seq Analysis of Multi-mapped reads

yashv28 /Color-Segmentation-using-GMM

该项目在 GitHub 上没有填写描述

andreacasalino /Gaussian-Mixture-Model

C++ library handling Gaussian Mixure Models