Alternatives and similar repositories for Expectation-Maximization

Users that are interested in Expectation-Maximization are comparing it to the libraries listed below

• ddbourgin / em
  Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
  ☆39Updated 6 years ago
• rishabhk108 / OptimizationDemos
  Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and …
  ☆13Updated 4 years ago
• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 8 years ago
• duke-mlss / Duke-MLWS-2019
  Duke Machine Learning Winter School 2019
  ☆27Updated 6 years ago
• locuslab / sdp_clustering
  ☆12Updated 4 years ago
• zackmcnulty / CSE_446-Machine_Learning
  Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision tre…
  ☆9Updated 6 years ago
• Koldh / LearnableGroupTransform-TimeSeries
  ☆8Updated 5 years ago
• ericlaber / ericlaber.github.io
  Course notes and other public-facing content
  ☆14Updated last year
• STIMALiU / AdvBayesLearnCourse
  Course material for the PhD course Advanced Bayesian Learning at Linköping University
  ☆14Updated 11 years ago
• Zhenye-Na / deep-learning-uiuc
  💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-Champaign
  ☆1Updated 6 years ago
• cpapadimitriou / Click-Through-Rate-prediction
  ☆11Updated 6 years ago
• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• shenxiangzhuang / nyu-ml-course-ds-ga-1003
  DS-GA 1003[Spring 2019]
  ☆11Updated 5 years ago
• EisenIn / Algebre-Lineaire-2
  Course Material for my course Linear Algebra 2 (in french)
  ☆12Updated last month
• Coding-Zuo / DL-paper
  tensorflow2---CV、GNN论文复现
  ☆10Updated 4 years ago
• prob140 / textbook
  ☆28Updated 2 months ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last month
• mabeckers / dlrm
  An implementation of a deep learning recommendation model (DLRM)
  ☆10Updated 4 years ago
• chaaland / bloomberg-ml-course
  Solutions to machine learning HW from bloomberg ml course
  ☆11Updated 6 years ago
• slds-lmu / lecture_iml
  ☆14Updated this week
• kevinclee26 / sentiment_analysis_classification
  ☆19Updated 3 years ago
• yuany-pku / 2018_math4432
  This is the course-web for Math 4432, Statistical Machine Learning, Spring 2018, HKUST.
  ☆9Updated 7 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• cliffzhou92 / UCI_MATH_10
  ☆13Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• sjchoi86 / intro-to-linear-algebra
  ☆14Updated 2 years ago
• bangdasun / statistical-machine-learning
  STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materi…
  ☆8Updated 6 years ago
• vsmolyakov / ml
  machine learning
  ☆39Updated 6 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago