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probabilistic-graphical-models

Here are 195 public repositories matching this topic...

kmario23 / deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization machine-translation deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition graph-neural-networks

Updated Feb 1, 2022
HTML

guoguibing / librec

LibRec: A Leading Java Library for Recommender Systems, see

java matrix collaborative-filtering matrix-factorization systems sparse recommender tensor-factorization collaborative tensor factorization filtering recommender-systems recommendation-algorithms probabilistic-graphical-models

Updated Sep 17, 2021
Java

jmschrei / pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

python machine-learning cython parallel probabilistic-graphical-models

Updated Mar 14, 2022
Jupyter Notebook

pgmpy / pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

python statistics simulation statistical-inference causality bayesian-networks probabilistic-graphical-models dag causal-inference structure-learning causal-models sampling-methods

Updated Mar 3, 2022
Python

TuringLang / Turing.jl

Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

Updated Mar 17, 2022
Julia

altosaar / variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

Updated Nov 11, 2021
Python

dotnet / mbmlbook

Sample code for the Model-Based Machine Learning book.

machine-learning probabilistic-programming probabilistic-graphical-models probabilistic-models

Updated Mar 17, 2021
C#

probcomp / PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

probabilistic-programming bayesian-inference data-cleaning probabilistic-graphical-models data-cleansing

Updated Nov 23, 2021
Julia

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.

machine-learning reinforcement-learning computer-vision deep-learning linear-algebra statistical-learning inference stanford-university high-performance-computing bayesian-inference computer-architecture probabilistic-graphical-models hao 5th robert-tibshirani

Updated Mar 7, 2022

biaslab / ForneyLab.jl

Open

Remove antipatterns

1

ThijsvdLaar commented Apr 20, 2020

This blogpost from Lyndon White mentions several antipatterns for Julia code: https://white.ucc.asn.au/2020/04/19/Julia-Antipatterns.html (thanks @bauglir for pointing this out). Some of the antipatterns mentioned here are also present in the FL code.

The most prominent one is the over-constraining of argument types. Some very specific constraints are needed for the update rules, but in oth

Read more

good first issue refactoring

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 markov-random-field denoising-images

Updated Jun 23, 2020
Jupyter Notebook

meringlab / FlashWeave.jl

Inference of microbial interaction networks from large-scale heterogeneous abundance data

metadata bioinformatics julia metagenomics high-performance-computing microbiome probabilistic-graphical-models co-occurence compositional-data ecological-network

Updated Dec 14, 2021
Julia

kpoeppel / pytorch_probgraph

A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch

pytorch restricted-boltzmann-machine probabilistic-graphical-models deep-belief-network

Updated Aug 7, 2020
Python

biaslab / ReactiveMP.jl

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

probabilistic-programming bayesian-inference probabilistic-graphical-models message-passing

Updated Mar 19, 2022
Julia

stefanwebb / flowtorch-old

Separating Normalizing Flows code from Pyro and improving API

pytorch probabilistic-programming bayesian-inference probabilistic-graphical-models bayesian-statistics probabilistic-models normalizing-flows

Updated Aug 26, 2021
Python

s-ai-kia / CS228_PGM

🌀 Stanford CS 228 - Probabilistic Graphical Models

stanford-university bayesian markov-decision-processes probabilistic-graphical-models cs228

Updated Jan 15, 2019
Python

diningphil / CGMM

Official repository of the Contextual Graph Markov Model (ICML 2018 - JMLR 2020)

machine-learning deep-learning graphs unsupervised-learning probabilistic-graphical-models

Updated Mar 3, 2022
Python

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 natural-language-processing deep-neural-networks computer-vision deep-learning machine-translation deep-reinforcement-learning medical-imaging speech-recognition probabilistic-graphical-models graph-neural-networks

Updated Feb 1, 2022
HTML

ml-uol / prosper

Open

Documentation

gexarcha commented Jul 17, 2019

The documentation at this point is in a very poor state at this point. We need to do considerable effort and I suggest that we adhere to NumPy style docstrings

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documentation enhancement help wanted good first issue

chyikwei / bnp

Bayesian nonparametric models for python

python topic-modeling data-analysis bayesian probabilistic-graphical-models

Updated Sep 11, 2018
Python

trungnt13 / odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

machine-learning natural-language-processing deep-neural-networks deep-learning graph-algorithms image-processing bayesian-methods generative-model semi-supervised-learning probabilistic-programming text-processing probabilistic-graphical-models speech-processing variational-autoencoder variational-autoencoders disentangled-representations factor-vae disentanglement-learning

Updated Aug 11, 2021
Python

UBC-Stat-ML / blangSDK

Blang's software development kit

machine-learning probabilistic-programming bayesian-inference mcmc probabilistic-graphical-models bayesian-statistics markov-chain-monte-carlo mcmc-sampler probabilistic-models

Updated Feb 24, 2022
Xtend

xzluo97 / MvMM-RegNet

Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation

deep-learning tensorflow probabilistic-graphical-models medical-image-registration groupwise-registration

Updated Feb 9, 2022
Python

ginevracoal / statistical-machine-learning

Probabilistic Machine Learning course lab @Units

machine-learning tutorial probabilistic-programming probabilistic-graphical-models

Updated Mar 16, 2022
Jupyter Notebook

hyu-ub / BayesNetBP

R package for inference in Bayesian networks.

network-inference bayesian-networks probabilistic-graphical-models conditional-gaussian

Updated Mar 12, 2021
R

xuedong / machine-learning-summer-schools

Curated materials for different machine learning related summer schools

machine-learning natural-language-processing statistics reinforcement-learning deep-learning optimization automatic-differentiation deep-reinforcement-learning multi-agent generative-adversarial-network transfer-learning kernel-methods mcmc gaussian-processes variational-inference multi-armed-bandits probabilistic-graphical-models causal-inference optimal-transport interpretability

Updated Mar 8, 2021
Jupyter Notebook

arranger1044 / DEBD

A collection of commonly used datasets as benchmarks for density estimation in MaLe

benchmark dataset probabilistic-graphical-models density-estimation tractable-models

Updated Jul 15, 2019
Python

breandan / markovian

Sponsor

🎲 A Kotlin DSL for probabilistic programming.

probabilistic-programming bayesian-networks probabilistic-graphical-models uncertainty-propagation probabilistic-circuits

Updated Mar 21, 2022
Java

lingxuez / bayes-net

Checking D-separations and I-equivalence in Bayesian Networks.

python bayesian-network graphical-models probabilistic-graphical-models

Updated Feb 11, 2017
Python

tonysy / awesome-graph-networks

Materials for Graph Models and Graph Networks

deep-learning artificial-intelligence probabilistic-graphical-models

Updated Jul 6, 2018

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