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Search results for probabilistic graphical models
probabilistic-graphical-models
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55 search results found
Deep Learning Drizzle
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10,767
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Pomegranate
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3,194
Fast, flexible and easy to use probabilistic modelling in Python.
Librec
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3,113
LibRec: A Leading Java Library for Recommender Systems, see
Pgmpy
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2,551
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Turing.jl
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1,925
Bayesian inference with probabilistic programming.
Variational Autoencoder
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1,114
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Variational Autoencoder
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1,049
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Mbmlbook
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183
Sample code for the Model-Based Machine Learning book.
The Books Making You Better
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169
A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.
Pclean
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167
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
Forneylab.jl
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134
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Reactivemp.jl
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85
High-performance reactive message-passing based Bayesian inference engine
Flashweave.jl
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52
Inference of microbial interaction networks from large-scale heterogeneous abundance data
Causact
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42
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
Scar
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41
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
Markov Random Field Project
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37
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.
Flowtorch Old
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36
Separating Normalizing Flows code from Pyro and improving API
Cgmm
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33
Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
Pyhgf
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27
PyHGF: A graph neural network library for predictive coding
Flowtorch
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25
Separating Normalizing Flows code from Pyro and improving API
Easy Factor Graph
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24
General purpose C++ library for managing discrete factor graphs
Blangsdk
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22
Blang's software development kit
Agrum
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17
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
Splotch
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17
Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data
Statistical Machine Learning
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16
Probabilistic Machine Learning course lab @UNITS
Algebraicinference.jl
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16
Bayesian inference on wiring diagrams.
Bayesnetbp
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15
R package for inference in Bayesian networks.
Odin Ai
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15
Orgainzed Digital Intelligent Network (O.D.I.N)
Prosper
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14
A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
Machine Learning Summer Schools
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14
Curated materials for different machine learning related summer schools
Bnp
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14
Bayesian nonparametric models for python
Mva
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14
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
Mvmm Regnet
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12
Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
Mvmm Demo
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12
PyTorch implementation for multivariate mixture model on cardiac segmentation from multi-source images
Upgrad_pgdmlai
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11
assignments and group case studies from PGDMLAI course by upGrad & IIITB
Crema
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9
Crema: Credal Models Algorithms
Sgs
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9
Inference in Bayesian Networks with R
Awesome Bayes Nets
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9
⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
Timeawarepc
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8
A python package for finding causal functional connectivity from neural time series observations.
Edhsmm
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8
An(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3
Credici
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8
Credici: Credal Inference for Causal Inference
Named Entity Recognition
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7
This is a project in python to extract named entities from the given text corpus. You can use this project directly on your text corpus (changing path in config file) to train the model and score it on new corpus.
Bnweathergen
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7
Weather Generators with Bayesian Networks
Debd
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7
A collection of commonly used datasets as benchmarks for density estimation in MaLe
Pyrandwalk
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7
🚶Python Library for Random Walks.
Conditional Random Fields
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7
An analysis and implementation of Conditional Random Fields.
Watershed
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7
Probability distributions in Clojure
Multi Ctbncs
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6
Tool for learning and applying multi-dimensional continuous-time Bayesian network classifiers.
Awesome Graph Networks
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6
Materials for Graph Models and Graph Networks
Fuller
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6
Integrated computational framework for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data
Torchlatent
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6
High Performance Structured Prediction in PyTorch
Dasa
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6
Discourse-Aware Sentiment Analysis
Data_prediction
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6
快速轨迹坐标数据统计与概率论预测评估计算。
Hyperlattices
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5
Generalized Lattice data-types for Common Lisp
Lok Sabha Election Twitter Analysis
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5
Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.
1-55 of 55 search results
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