186 skills found · Page 1 of 7
XiaLiPKU / EMANetThe code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
siavashk / PycpdPure Numpy Implementation of the Coherent Point Drift Algorithm
je-suis-tm / Machine LearningPython machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
jpthu17 / EMCL[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
cozygene / FEASTFast expectation maximization for microbial source tracking
psaris / FunqSource files for "Fun Q: A Functional Introduction to Machine Learning in Q"
sjoerdvansteenkiste / Neural EMCode for the "Neural Expectation Maximization" paper.
benjiebob / StanfordExtra12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
STEM-Inv / STEM Inv[CVPR24] Official Implementation of 'A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing'
Labo-Lacourse / StepmixA 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 PythonPython implementation of EM algorithm for GMM. And visualization for 2D case.
cambridge-mlg / DUNCode for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
mcdickenson / Em GaussianPython code for Expectation-Maximization estimate of Gaussian mixture model
sjoerdvansteenkiste / Relational NEMCode for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
m-clark / Models By ExampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
soroosh-rz / Bayesian Methods For Machine LearningBayesian Methods for Machine Learning
rezaahmadzadeh / Expectation MaximizationExpectation-Maximization (EM) algorithm in Matlab
benjiebob / WLDOCode for paper ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
RobustFieldAutonomyLab / Em ExplorationAutonomous Exploration with Expectation-Maximization
sukrutrao / Fast Dawid SkeneCode 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
