10 results found Sort:

siavashk
pycpd siavashk
112
496
mit
16
Pure Numpy Implementation of the Coherent Point Drift Algorithm
python point-cloud registration expectation-maximization
Created 2016-10-23
209 commits to master branch, last one about a year ago
je-suis-tm
machine-learning je-suis-tm
49
210
apache-2.0
4
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...
dbscan naive-bayes em-algorithm newton-method factor-analysis lasso-regression ridge-regression k-nearest-neighbors batch-gradient-descent low-rank-approximation support-vector-machine multinomial-naive-bayes expectation-maximization latent-semantic-analysis stochastic-gradient-descent linear-discriminant-analysis singular-value-decomposition independent-component-analysis sequential-minimal-optimization expectation-maximization-algorithm
Created 2018-04-05
345 commits to master branch, last one about a year ago
psaris
funq psaris
49
134
mit
29
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
q kdb k-means pagerank page-rank clustering naive-bayes decision-trees neural-network machine-learning linear-regression reccomendersystem logistic-regression k-nearest-neighbours collaborative-filtering heirarchical-clustering expectation-maximization neural-network-regression neural-network-classification
Created 2016-05-06
807 commits to master branch, last one 8 months ago
cambridge-mlg
DUN cambridge-mlg
11
72
mit
8
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
pytorch robustness uncertainty learnt-depth deep-learning network-depths neural-networks machine-learning bayesian-inference reproducible-paper reproducible-research variational-inference bayesian-deep-learning probabilistic-inference bayesian-neural-networks expectation-maximization neural-architecture-search uncertainty-quantification uncertainty-neural-networks probabilistic-neural-network
Created 2020-06-12
7 commits to master branch, last one 2 years ago
m-clark
models-by-example m-clark
16
67
unknown
3
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
pca rkhs lasso splines bayesian cox-model algorithms mixed-models zero-inflated neural-network gradient-descent machine-learning ridge-regression linear-regression gaussian-processes logistic-regression penalized-regression hamiltonian-monte-carlo expectation-maximization maximum-likelihood-estimation
Created 2020-11-01
95 commits to main branch, last one 3 years ago
mr-easy
GMM-EM-Python mr-easy
14
62
unknown
2
Python implementation of EM algorithm for GMM. And visualization for 2D case.
visualization gmm-clustering gaussian-mixture-models expectation-maximization machine-learning-algorithms expectation-maximization-algorithm
Created 2020-06-04
10 commits to master branch, last one about a year ago
Labo-Lacourse
stepmix Labo-Lacourse
4
52
mit
6
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 ...
lca clustering classification mixture-models machine-learning supervised-learning latent-class-analysis expectation-maximization
Created 2022-01-06
432 commits to master branch, last one 12 days ago
GFNOrg
GFlowNet-EM GFNOrg
2
36
mit
5
Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
vae grammar gflownet latent-variable-models expectation-maximization
Created 2023-01-30
8 commits to main branch, last one 4 months ago
moucheng2017
EMSSL moucheng2017
1
32
unknown
2
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
lung brats miccai bayesian miccai2022 robustness miccai-2022 em-algorithm segmentation computervision computer-vision adversarial-attacks out-of-distribution vessel-segmentation variational-inference medical-image-computing expectation-maximization semi-supervised-learning
Created 2022-05-24
33 commits to main branch, last one about a year ago
dmetivie
ExpectationMaximization.jl dmetivie
1
32
mit
2
A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.
julia clustering mixture-models gaussian-mixture-models expectation-maximization
Created 2022-03-25
93 commits to master branch, last one 6 months ago