8 results found Sort:

yell
boltzmann-machines yell
134
844
mit
35
Boltzmann Machines in TensorFlow with examples
ais dbm pcd rbm mcmc keras tensorflow deep-learning gibbs-sampling machine-learning tensorflow-models boltzmann-machines energy-based-model sklearn-compatible variational-inference annealed-importance-sampling restricted-boltzmann-machine contrastive-divergence-algorithm
Created 2017-10-23
773 commits to master branch, last one 2 years ago
rwalk
gsdmm rwalk
95
353
mit
5
GSDMM: Short text clustering
nlp python clustering short-text gibbs-sampling
Created 2017-02-05
15 commits to master branch, last one 3 years ago
JoeZJH
Labeled-LDA-Python JoeZJH
31
120
mit
5
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
llda l-lda python python2 python3 python27 llda-model labeled-lda topic-model gibbs-sampling topic-modeling incremental-update
Created 2018-10-31
43 commits to master branch, last one 2 years ago
cgre-aachen
bayseg cgre-aachen
15
61
lgpl-3.0
12
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
python3 geophysics gibbs-energy markov-chain segmentation mixture-model gibbs-sampling bayesian-methods machine-learning hidden-markov-models gaussian-mixture-models
Created 2017-11-16
167 commits to master branch, last one 3 years ago
single-cell-genetics
cardelino single-cell-genetics
12
57
unknown
7
Clone identification from single-cell data
scrna-seq single-cell gibbs-sampling clonal-clustering somatic-mutations
Created 2017-11-13
226 commits to main branch, last one about a year ago
vangj
py-bbn vangj
17
55
apache-2.0
5
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
bbn py-bbn causality causation inference turing-bbn pyspark-bbn gibbs-sampling causal-inference python-libraries average-causal-effect probability-propagation bayesian-belief-networks approximate-inference-algorithm
Created 2017-01-19
522 commits to master branch, last one 6 months ago
aesara-devs
aemcmc aesara-devs
11
39
mit
5
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
hmc ppl mcmc samplers gibbs-sampling term-rewriting symbolic-computation
Created 2021-12-14
107 commits to main branch, last one about a year ago
scjrobertson
multisensor-lmb-filters scjrobertson
2
30
unknown
2
Matlab implementations of various multi-sensor labelled multi-Bernoulli filters
glmb-filter kalman-filter gibbs-sampling object-tracking state-estimation multi-sensor-lmbm random-finite-set multi-sensor-fusion parallel-update-lmb multi-object-tracker geometric-average-lmb multi-object-tracking iterated-corrector-lmb arithmetric-average-lmb geometric-average-fusion labelled-multi-bernoulli loopy-belief-propagation state-estimation-filters arithmetic-average-fusion multi-object-bayes-filter
Created 2022-07-07
21 commits to main branch, last one about a year ago