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GitHub topics: bayesian-classifiers

omerbsezer/Generative_Models_Tutorial_with_Demo 📦

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..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 20 days ago - Pushed at: about 6 years ago - Stars: 335 - Forks: 41

mrunmaim16/CSE-5334-Programming-Assignments

Programming assignments completed for course CSE - 5334 Data Mining under Professor Dr. Marnim Galib.

Language: Jupyter Notebook - Size: 460 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

rdpstaff/RDPTools

Collection of commonly used RDP Tools for easy building

Language: Makefile - Size: 37.1 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 49 - Forks: 58

DS-KB-lab/Bayesian-classification

Master of AI in unibo(Bayesian mini project)

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

kennycason/bayesian_sentiment_analysis

Pragmatic & Practical Bayesian Sentiment Classifier

Language: Kotlin - Size: 1.89 MB - Last synced at: 12 months ago - Pushed at: about 8 years ago - Stars: 221 - Forks: 28

fbalensiefer/Machine_Learning_R

Statistical Learning in R

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

thugsatbay/ML-SUSY-DataSet

Exploration of dataset https://archive.ics.uci.edu/ml/datasets/SUSY

Language: Python - Size: 42.7 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 2

FernandoSchett/bayesian_classifier

Jupyter Notebook featuring hands-on exercises centered around Bayesian networks and Bayesian classifiers.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ArminKaramzade/SherLock

Language: Python - Size: 481 KB - Last synced at: about 2 years ago - Pushed at: about 9 years ago - Stars: 0 - Forks: 0

IHappyPlant/SMPR

Лабораторные работы по предмету "Системы и методы принятия решений"

Language: R - Size: 2.45 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Shikhargupta/Machine-Learning-and-Pattern-Recognition

Implementation of Machine Learning Algorithms

Language: Python - Size: 3.35 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 45 - Forks: 28

wsjeon/SVGD

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

Language: Python - Size: 721 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 1

alannapaiva/bayesian_classifiers_and_lda

Implementation of the Bayesian, MAP and LDA classifiers.

Language: Jupyter Notebook - Size: 509 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Jeffresh/Bayessian-classification-Prediction-Risk

An example of Bayesian classification to determining the optimal decision boundary to do predictions.

Language: MATLAB - Size: 29.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

dwrodri/aucs_bayes

A Presentation on Naive Bayesian Classifiers + a simple example

Language: Python - Size: 7.26 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

DevanshuSave/Data-Mining

Implementation of various Data Mining Algorithms in Java

Language: Java - Size: 12.7 KB - Last synced at: 2 days ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

Related Keywords
bayesian-classifiers 16 python 5 machine-learning 5 machine-learning-algorithms 3 gaussian-mixture-models 2 r 2 naive-bayes-classifier 2 principal-component-analysis 2 decision-trees 2 svm 1 stolp 1 r-language 1 nearest-neighbors 1 ml 1 metric-classifiers 1 loo 1 linear-regression 1 linear-classifiers 1 kwnn 1 gamma 1 classification 1 svm-classifier 1 probability-theory 1 jupyter-notebook 1 bayesian-networks 1 weka 1 unsupervised-learning 1 supervised-learning 1 kmeans 1 java 1 id3 1 data-mining 1 scikit-learn 1 python3 1 predictions 1 prediction-risk 1 prediction 1 matlab 1 lda-classification 1 bayesian-data-analysis 1 svgd 1 stein-variational-gradient-decent 1 bayesian-inference 1 image-segmentation 1 facial-reconstruction 1 character-recognition 1 bayes-theorem 1 nearest-neighbours-classifier 1 k-means-clustering 1 hierarchical-clustering 1 evaluating-models 1 data-science-tools 1 data-science-applications 1 data-preprocessing 1 big-data 1 association-rule-mining 1 variational-inference 1 variational-autoencoder 1 tutorial-code 1 tutorial 1 generative-model 1 generative-adversarial-network 1 gans 1 dcgan 1 cyclegan 1 auto-regressive-model 1 regularization 1 neural-network 1 logistic-regression 1 statistical-learning 1 ridge-regression 1 regression-trees 1 cross-validation 1 bootstrap 1 sentiment-analysis 1 sequence-alignment 1 microbiome 1 microbiology 1 bioinformatics 1 16s 1 vector-space-model 1 support-vector-machines 1 similarity-measures 1 outlier-analysis 1 neural-networks 1