Projects in Awesome Lists tagged with graphical-models

https://github.com/py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects

Last synced: 01 Oct 2024

https://github.com/microsoft/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects

Last synced: 28 Aug 2024

https://github.com/thu-ml/zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

bayesian-inference deep-learning generative-models graphical-models probabilistic-programming

Last synced: 30 Jul 2024

https://github.com/franxyao/Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

approximate-inference decoding discrete-structures generative-adversarial-networks generative-model generative-models generative-text gradient-estimation graphical-models language-model latent-variable-models markov-chain-monte-carlo mcmc natural-language-processing normalizing-flows parsing structured-prediction text-generation variational-autoencoders variational-inference

Last synced: 02 Aug 2024

https://github.com/autonlab/auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

causal-inference counterfactual-inference data-science deep-learning graphical-models machine-learning python regression reliability-analysis survival-analysis time-to-event

Last synced: 02 Aug 2024

https://github.com/spflow/spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

deep-learning graphical-models machine-learning mixture-model spn sum-product-networks tensorflow-models

Last synced: 26 Sep 2024

https://github.com/SPFlow/SPFlow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

deep-learning graphical-models machine-learning mixture-model spn sum-product-networks tensorflow-models

Last synced: 07 Aug 2024

https://github.com/skggm/skggm

Scikit-learn compatible estimation of general graphical models

concentration-graph covariance-matrix ensemble-learning gaussian-graphical-models general-graphical-models graphical-lasso graphical-models machine-learning nonparametric precision-matrix rank-correlation scikit-learn skggm

Last synced: 29 Sep 2024

https://github.com/adityadua24/robopy

Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke

graphical-models inverse-kinematics kinematics python robotics robotics-toolbox transformations vtk

Last synced: 09 Aug 2024

https://github.com/jeff-regier/Celeste.jl

Scalable inference for a generative model of astronomical images

astronomical-catalogs astronomical-images astronomy bayesian-inference graphical-models variational-inference

Last synced: 02 Aug 2024

https://github.com/anskarl/LoMRF

LoMRF is an open-source implementation of Markov Logic Networks

graphical-models inference logic machine-learning probabilistic-programming scala

Last synced: 04 Aug 2024

https://github.com/fabian-sp/GGLasso

A Python package for General Graphical Lasso computation

graphical-lasso graphical-models latent-variable-models network-inference optimization

Last synced: 02 Aug 2024

https://github.com/aniket-agarwal1999/vGraph-Pytorch

Implementation of the paper "vGraph: A Generative Model For Joint Community Detection and Node Representational Learning" under NeurIPS Reproducibility challenge 2019

deep-learning graphical-models nips-2019 pytorch representation-learning

Last synced: 31 Jul 2024

https://github.com/itsrainingdata/sparsebnutils

Utilities for learning sparse Bayesian networks

bayesian-networks graphical-models machine-learning r statistics

Last synced: 30 Sep 2024

https://github.com/robert-giaquinto/dapper

Fast implementation of DAP topic model using Conjugate Computation Variational Inference

em-algorithm graphical-models machine-learning natural-language-processing stochastic-gradient-descent stochastic-variational-inference text-analysis text-mining topic-modeling variational-inference

Last synced: 02 Aug 2024