probabilistic-graphical-models

There are 21 repositories under probabilistic-graphical-models topic.

kmario23 / deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
artificial-intelligence-algorithms artificial-neural-networks bayesian-statistics computer-vision deep-learning deep-neural-networks deep-reinforcement-learning explainable-ai geometric-deep-learning graph-neural-networks machine-learning medical-imaging natural-language-processing optimization pattern-recognition probabilistic-graphical-models probability reinforcement-learning speech-recognition visual-recognition
Language:HTML 10105
guoguibing / librec
LibRec: A Leading Java Library for Recommender Systems, see
collaborative collaborative-filtering factorization filtering java matrix matrix-factorization probabilistic-graphical-models recommendation-algorithms recommender recommender-systems sparse systems tensor tensor-factorization
Language:Java 3095
jmschrei / pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
cython machine-learning parallel probabilistic-graphical-models python
Language:Jupyter Notebook 2896
pgmpy / pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
bayesian-networks causal-inference causal-models causality dag probabilistic-graphical-models python sampling-methods simulation statistical-inference statistics structure-learning
Language:Python 2052
TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks
Language:Julia 1575
altosaar / variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
vae machine-learning tensorflow variational-autoencoder variational-inference probabilistic-graphical-models deep learning deep-learning deep-neural-networks pytorch unsupervised-learning autoregressive-neural-networks
Language:Python 970
dotnet / mbmlbook
Sample code for the Model-Based Machine Learning book.
machine-learning probabilistic-graphical-models probabilistic-models probabilistic-programming
Language:C# 226
probcomp / PClean
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
probabilistic-programming probabilistic-graphical-models data-cleaning data-cleansing bayesian-inference
Language:Julia 167
biaslab / ForneyLab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
bayesian-methods machine-learning factor-graph probabilistic-graphical-models probabilistic-programming state-space-models
Language:Julia 123
hao-lh / books-making-you-better
A list of time-lasting classic books, which could not only help you figure out how it works, but also grasp when it works and why it works in that way.
deep-learning machine-learning statistical-learning computer-vision linear-algebra bayesian-inference probabilistic-graphical-models computer-architecture reinforcement-learning high-performance-computing
118
AliMorty / Markov-Random-Field-Project
This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.
image-segmentation probabilistic-graphical-models denoising-images markov-random-field
Language:Jupyter Notebook 83
biaslab / ReactiveMP.jl
Julia package for automatic Bayesian inference on a factor graph with reactive message passing
bayesian-inference message-passing probabilistic-programming probabilistic-graphical-models
Language:Julia 49
meringlab / FlashWeave.jl
Inference of microbial interaction networks from large-scale heterogeneous abundance data
metagenomics microbiome probabilistic-graphical-models high-performance-computing compositional-data metadata ecological-network co-occurence julia bioinformatics
Language:Julia 46
kpoeppel / pytorch_probgraph
A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
probabilistic-graphical-models pytorch restricted-boltzmann-machine deep-belief-network
Language:Python 44
s-ai-kia / CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
cs228 probabilistic-graphical-models stanford-university markov-decision-processes bayesian
Language:Python 43
stefanwebb / flowtorch-old
Separating Normalizing Flows code from Pyro and improving API
bayesian-inference bayesian-statistics normalizing-flows probabilistic-graphical-models probabilistic-models probabilistic-programming pytorch
Language:Python 36
diningphil / CGMM
Official repository of the Contextual Graph Markov Model (ICML 2018 - JMLR 2020)
deep-learning probabilistic-graphical-models graphs unsupervised-learning machine-learning
Language:Python 33
deep-learning-drizzle / deep-learning-drizzle.github.io
webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses
machine-learning deep-learning deep-neural-networks deep-reinforcement-learning computer-vision natural-language-processing machine-translation graph-neural-networks probabilistic-graphical-models medical-imaging speech-recognition
Language:HTML 19
xzluo97 / MvMM-RegNet
Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
medical-image-registration groupwise-registration deep-learning tensorflow probabilistic-graphical-models
Language:Python 19
UBC-Stat-ML / blangSDK
Blang's software development kit
machine-learning probabilistic-programming probabilistic-graphical-models probabilistic-models mcmc-sampler mcmc markov-chain-monte-carlo bayesian-inference bayesian-statistics
Language:Xtend 18
chyikwei / bnp
Bayesian nonparametric models for python
bayesian data-analysis probabilistic-graphical-models python topic-modeling
Language:Python 17
ml-uol / prosper
A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
machine-learning sparse-coding feature-learning probabilistic-graphical-models variational-inference
Language:Python 17
trungnt13 / odin-ai
Orgainzed Digital Intelligent Network (O.D.I.N)
bayesian-methods deep-learning deep-neural-networks disentangled-representations disentanglement-learning factor-vae generative-model graph-algorithms image-processing machine-learning natural-language-processing probabilistic-graphical-models probabilistic-programming semi-supervised-learning speech-processing text-processing variational-autoencoder variational-autoencoders
Language:Python 17
ginevracoal / statistical-machine-learning
Probabilistic Machine Learning course lab @UNITS
machine-learning probabilistic-graphical-models probabilistic-programming tutorial
Language:Jupyter Notebook 16
hyu-ub / BayesNetBP
R package for inference in Bayesian networks.
bayesian-networks network-inference probabilistic-graphical-models conditional-gaussian
Language:R 15
arranger1044 / DEBD
A collection of commonly used datasets as benchmarks for density estimation in MaLe
density-estimation dataset benchmark tractable-models probabilistic-graphical-models
Language:Python 13
breandan / markovian
🎲 A Kotlin DSL for probabilistic programming.
probabilistic-circuits uncertainty-propagation bayesian-networks probabilistic-graphical-models probabilistic-programming
Language:Java 13
xuedong / machine-learning-summer-schools
Curated materials for different machine learning related summer schools
machine-learning reinforcement-learning deep-learning statistics variational-inference optimization deep-reinforcement-learning optimal-transport automatic-differentiation probabilistic-graphical-models causal-inference generative-adversarial-network natural-language-processing kernel-methods multi-armed-bandits multi-agent gaussian-processes mcmc transfer-learning interpretability
Language:Jupyter Notebook 13
lingxuez / bayes-net
Checking D-separations and I-equivalence in Bayesian Networks.
bayesian-network graphical-models probabilistic-graphical-models python
Language:Python 11
Novartis / scar
scAR (single-cell Ambient Remover) is a package for data denoising in single-cell omics.
machine-learning single-cell-rna-seq denoising-algorithm variational-autoencoder probabilistic-graphical-models generative-model cite-seq screening
Language:Python 11
antoine-moulin / MVA
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
convex-optimization deep-learning ens-paris-saclay graphs-classification kernel-methods mva object-recognition probabilistic-graphical-models reinforcement-learning sequential-learning
Language:Jupyter Notebook 10
jasonlovescoding / Coursera-ProbabilisticGraphicalModels
The homework assignments finished for the coursera specialization "Probabilistic Graphical Models"
coursera probabilistic-graphical-models serial-course-project
Language:MATLAB 10
pyrandwalk
sadrasabouri / pyrandwalk
:walking:Python Library for Random Walks.
education educational markov-chain networkx probabilistic-graphical-models probability python random-walk reinforcement-learning reinforcement-learning-algorithms simulation stochastic-processes
Language:Jupyter Notebook 10
tonysy / awesome-graph-networks
Materials for Graph Models and Graph Networks
deep-learning probabilistic-graphical-models artificial-intelligence
10
InferencePGMbyGNN
anvinhnguyendinh / InferencePGMbyGNN
A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
graph probabilistic-graphical-models graphneuralnetwork inference
Language:Python 9
IDSIA / crema
Crema: Credal Models Algorithms
crema credal-models bayesian-models inference credal bayesian probabilistic-graphical-models imprecise-probability probability
Language:Java 9

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