bayes-rule
There are 16 repositories under bayes-rule topic.
CasperKristiansson/Elements-of-AI-Building-Ai
All exercises for the course Elements of AI - Building AI
alkhdaniel/Elements-of-AI-Building-AI---Advanced
Elements of AI: Building AI - Advanced is an online course by Reaktor and University of Helsinki worth 2 ECTS.
ksheersaagr/Kalman_Filters
Kalman filter finds the most optimum averaging factor for each consequent state. Also somehow remembers a little bit about the past states.
agn-7/gaussian_naive_bayes_classifier
A simple 1-dimensional Gaussian Naïve Bayes Classifier.
dustinmichels/bayesian-values-guesser
Uses some user input, data from the World Values Survey <www.worldvaluessurvey.org>, and Bayes Rule to guess a number of beliefs the user might have. STATUS: In progress.
duttaANI/2D-Histogram-Filter
Using 2d histogram filter for localization
frank-chris/solving-hangman-using-probability
Solving hangman using probability
naman0105/Recommendation-System-MEAN-Stack
A website to simulate book suggestion using Bayes rule
SalemAmeen/Probability-theory
This course covers topics such as overview of sets, counting principles, probability, conditional probability and Bayes’ Rule, discrete Random Variables, continuous Random Variables, Bayesian inference, central limit theorem, regression and Markov Chains
trajkd/Kidnapped-Vehicle
Kidnapped Vehicle (project 6 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
X-rayLaser/generative-rnn
This repository is made as supplementary material for a tutorial. The tutorial shows how to use Recurrent Neural Nets as generative models.
Anagha-Sankar/Bayes-Classifier
Classification of image pixel into 2 classes using Baye's Decision Rule
maximumGain/basic-probability
The Matlab source code for basic probability used in information theory.
dfleta/probabilidad-bayes-MIA
Recursos sobre manejo de la incertidumbre y probabilidad por un agente inteligente, módulo de Modelos de Inteligencia Artificial
h-gokul/KFNet-study
Project for the course ENPM667 @ UMD. Code base and install instructions for a Point Cloud Regression and Camera Pose Estimation network using a Kalman Filter based loss function.
mbar0075/Foundations-of-Data-Science
Deliverables relating to the Foundations of Data Science University Unit