GitHub topics: baysian-network

Repositories

tum-pbs/Diffusion-based-Flow-Prediction

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

Language: Jupyter Notebook - Size: 433 MB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 64 - Forks: 6

NormAN-framework/base-model

First implementation of NormAN, an agent-based framework for normative argument exchange across networks.

Language: NetLogo - Size: 102 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

Lalwaniamisha789/CS-307-Lab-Report

A collection of AI algorithms and techniques covering intelligent agents, search strategies (BFS, DFS, A*), probabilistic reasoning (Bayesian networks, HMM), neural networks (feed-forward, Hopfield), and reinforcement learning. Topics include adversarial search, alpha-beta pruning, decision trees, Markov processes, and game theory applications.

Language: Python - Size: 33.2 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

haniye6776/News-Segmentation

News segmentation by Bayes classifier.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

pgeedh/Hyperparameter-Tuning-with-Keras-Tuner

Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization

Language: Jupyter Notebook - Size: 786 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

alinourian/Artificial-Intelligence-Assignments

This repository contains the assignments of Artificial Intelligence course at Sharif University of Technology.

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jakeberggren/TDDE15-Advanced-Machine-Learning

TDDE15 - Advanced Machine Learning course at Linkoping University, Sweden

Language: R - Size: 2.35 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anamatoso/AMC_project

This project aimed at inferring whether a patient has cancer based on their data. It consists of 2 applications: one for learning and one for predicting.

Language: Java - Size: 2.37 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Arash1381-y/d-separation

website for checking conditional independency in Bayesian network

Language: JavaScript - Size: 4.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

IliesChibane/TP-representation-des-connaissances-et-le-raisonnement Fork of ferrorra/RCR1

TPS ET RAPPORTS MODULE RCR 1 et 2

Language: MATLAB - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

parsa-hn/artificial-intelligence

Artificial intelligence course projects

Language: HTML - Size: 7.18 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

amindadgar/Machine-Learning

The homeworks related to Machine Learning university course would be saved here.

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Hen0k/causal-inference

My introduction to Causality. I used a breast cancer dataset and tried to classify cell types by using the causal relationship between the cell features.

Language: Jupyter Notebook - Size: 71.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1