Master of AI in unibo(Bayesian mini project)
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Updated
Jan 6, 2024 - Jupyter Notebook
Master of AI in unibo(Bayesian mini project)
Jupyter Notebook featuring hands-on exercises centered around Bayesian networks and Bayesian classifiers.
Collection of commonly used RDP Tools for easy building
Лабораторные работы по предмету "Системы и методы принятия решений"
Implementation of the Bayesian, MAP and LDA classifiers.
An example of Bayesian classification to determining the optimal decision boundary to do predictions.
Statistical Learning in R
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)
A Presentation on Naive Bayesian Classifiers + a simple example
This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.
Implementation of various Data Mining Algorithms in Java
Pragmatic & Practical Bayesian Sentiment Classifier
Exploration of dataset https://archive.ics.uci.edu/ml/datasets/SUSY
Implementation of Machine Learning Algorithms
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