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76 search results found

Dowhy ⭐ 6,730

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.

Pgmpy ⭐ 2,551

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

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Causalnex ⭐ 2,109

A Python library that helps data scientists to infer causation rather than observing correlation.

Stanford Cs 221 Artificial Intelligence ⭐ 1,578

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Pytorch Bayesiancnn ⭐ 1,181

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Salsanext ⭐ 386

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

🧮 Bayesian networks in Python

Browsecloud ⭐ 150

A web app to create and browse text visualizations for automated customer listening.

Torch Uncertainty ⭐ 132

Uncertainty for deep learning models in PyTorch 🌱

Repository of a data modeling and analysis tool based on Bayesian networks

Bayesiannetwork ⭐ 105

Bayesian Network Modeling and Analysis

Toolbox ⭐ 104

A Java Toolbox for Scalable Probabilistic Machine Learning

Uncertaintynn ⭐ 85

Implementation and evaluation of different approaches to get uncertainty in neural networks

Quantum Fog ⭐ 78

Python tools for analyzing both classical and quantum Bayesian Networks

Library for graphical models of decision making, based on pgmpy and networkx

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

Pcalg Py ⭐ 58

Implement PC algorithm in Python | PC 算法的 Python 实现

Benchpress ⭐ 52

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

Sparsebn ⭐ 37

Software for learning sparse Bayesian networks

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

R Causal ⭐ 36

R Wrapper for Tetrad Library

Web Bamt ⭐ 35

Online tool for Bayesian Networks

Estimation of Distribution algorithms Python package

Group Emotion Recognition ⭐ 30

Group Emotion Recognition using deep neural networks and Bayesian classifiers.

Bayesiannetwork ⭐ 30

An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.

Risknetwork ⭐ 28

Risk Network Modeling and Analysis

Easy Factor Graph ⭐ 24

General purpose C++ library for managing discrete factor graphs

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

Fast Inference of Networks from Directed Regulations

Parallel library for approximate inference on discrete Bayesian networks

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).

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Ecgclassifier ⭐ 15

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Bayesnetbp ⭐ 15

R package for inference in Bayesian networks.

19 Questions ⭐ 15

A machine learning / bayesian inference engine assigning attributes to objects

Pybnesian ⭐ 14

PyBNesian is a Python package that implements Bayesian networks.

Generation of Synthetic Populations Library

Recurrent Js ⭐ 14

[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

A framework and specification language for simulating data based on graphical models

COBAYN: Compiler Autotuning Framework Using Bayesian Networks

Em Model Manned Bayes ⭐ 13

Manned Bayesian Network Encounter Models

Artificial_curiosity ⭐ 12

Adaptive Reinforcement Learning of curious AI basketball agents

Junction Tree ⭐ 10

The junction tree algorithm for (discrete) factor graphs

Bayesian Network Builder ⭐ 10

Domain specific language for modelling dynamic Bayesian networks and estimating posteriors

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Bayesian Network Learning ⭐ 10

Learning the structure of the Bayesian network model.

Dynamic Bayesian Network library

Heart Murmur Detection ⭐ 9

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection (Physionet Challenge 2022)

Inference in Bayesian Networks with R

Awesome Bayes Nets ⭐ 9

⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.

Factorbase ⭐ 9

The source code repository for the FactorBase system

Vae Latent Structure ⭐ 9

PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]

Bayesjs Editor ⭐ 8

A simple editor for Bayesian Networks

Bnweathergen ⭐ 7

Weather Generators with Bayesian Networks

Watershed ⭐ 7

Probability distributions in Clojure

Code for riskmapr apps for invasive weed risk mapping

Inference on Bayesian Networks

Self Driven Vehicle using AI in Robotics ,i.e., Kalman filters, A* algorithm, PID control, localization, etc.The basic functionality of this car is just to chase and catch the running away car just like cops. For this, the car is such designed that is takes all the desired steps on its own in order to catch the running away car safely on a high traffic lane.

Tractable learning of Bayesian networks from partially observed data

Accuracy comparison of a Bayesian Network and an LSTM in detecting Alzheimer's symptoms on the Pitt Corpus: https://dementia.talkbank.org/access/English/Pitt.

Bayesian Bricks ⭐ 6

Basic building blocks in Bayesian statistics.

Understanding_the_em_algorithm ⭐ 6

Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/

Multi Ctbncs ⭐ 6

Tool for learning and applying multi-dimensional continuous-time Bayesian network classifiers.

Bayesian network structure learning

Mts_outlierdetection ⭐ 5

Causal_twitter_modeling_covid19 ⭐ 5

Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.

Bayesian Gradient Descent Algorithm Model for TensorFlow

TRIMER is a package for building integrated metabolic–regulatory models base on Bayesian network. TRIMER can be used for knockout phenotype prediction and knock flux prediction.

Adaptive Importance Sampling Bn ⭐ 5

Experimental code: adaptive importance sampling for bayesian networks. -- I think I may have broken this code.

OT/aGrUM module

Ccdralgorithm ⭐ 5

Structure learning for Bayesian networks using the CCDr algorithm.

1-76 of 76 search results

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