Projects from CS682 Artificial Intelligence. Minimax, Naive-Bayes classifier, Kalman Filter, and Reinforcement learning
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Updated
May 22, 2019 - C++
Projects from CS682 Artificial Intelligence. Minimax, Naive-Bayes classifier, Kalman Filter, and Reinforcement learning
Software Design lab on building a classification model using the Naive Bayes Classifier supervised learning algorithm. Reads handwritten digits from 0-9 and writes back which digit is written.
Naive Bayes classifier for text classification with CPU and GPU (CUDA)
Codes written as a part of this course in 1st Semester 2017-2018
Naive Bayes is a supervised machine learning algorithm that is used for classification tasks. It is based on the idea of applying Bayes' theorem using strong (naive) independence assumptions between the features.
C++ library for creating, training and inferencing a Gaussian Naive Bayes Classifier
A toolkit of machine learning algorithms.
An implementation of the Naive Bayes algorithm written in C++
A simple machine learning library.
An implementation of Logistic Regression and Naive Bayes algorithms written in C++
a simple and efficient spam filter using the naive bayes algorithm; built in c++
An implementation of the Naive-Bayes-Classifier algorithm in C++.
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
A C++ library for text classification using Multinomial Naive Bayes model on Reuters-21578 dataset.
🤖 Machine Learning course, ITMO University, 2019
C ++ machine learning algorithm implementations.C++机器学习算法实现。
Sancho McCann's PhD Thesis Research Code
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