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Top 6 gibbs-sampling open source projects
Text-Analysis
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
✭ 48
Jupyter Notebook
python
machine-learning
text-mining
neural-network
word2vec
word-embeddings
web-scraping
lstm
expectation-maximization
gradient-descent
text-processing
lda
text-prediction
scraping-websites
latent-dirichlet-allocation
skipgram
gibbs-sampling
long-short-term-memory-models
word-embedding
textual-analysis
CorBinian
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
✭ 15
matlab
c
C++
Makefile
count
correlation
entropy
binary
high-dimensional-data
maxent
heat-capacity
multivariate
neurons
ising-model
mcmc
maximum-likelihood
gibbs-sampling
maximum-entropy
criticality
bernoulli
dichotomized-gaussian
k-pairwise
iterative-scaling
specific-heat
PyLDA
A Latent Dirichlet Allocation implementation in Python.
✭ 51
python
shell
nlp
machine-learning
natural-language-processing
machine-learning-algorithms
topic-modeling
bayesian-inference
lda
variational-inference
latent-dirichlet-allocation
gibbs-sampling
gibbs-sampler
topic-models
Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
✭ 46
Jupyter Notebook
Mathematica
CSS
c
TeX
python
data-science
clustering-algorithm
kmeans-clustering
hamiltonian-monte-carlo
gibbs-sampling
maximum-likelihood-estimation
monte-carlo-sampling
mathematica-notebook
bayseg
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
✭ 46
Jupyter Notebook
machine-learning
markov-chain
bayesian-methods
geophysics
gaussian-mixture-models
segmentation
mixture-model
gibbs-sampling
hidden-markov-models
gibbs-energy
cardelino
Clone identification from single-cell data
✭ 49
r
scrna-seq
single-cell
somatic-mutations
gibbs-sampling
clonal-clustering
1-6
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6
gibbs-sampling projects