bayes-classifier 开源项目推荐（211 个）

ptnplanet /Java-Naive-Bayes-Classifier

A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.

muatik /naive-bayes-classifier

yet another general purpose naive bayesian classifier.

digfound /ML-Experiments

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

codebox /bayesian-classifier

A Naive Bayesian Classifier written in Python

dinever /antispam

Dead simple bayesian anti-spam classifier written in Python.

zh3389 /chatbot

知识图谱 neo4j 答案查找 + 机器学习 分类模型 问题分析 = 电影知识库问答机器人

dayvonjersen /linguist

Detect programming language used in git repository. Go port of github linguist.

odubno /gauss-naive-bayes

Gauss Naive Bayes in Python From Scratch.

M-Taghizadeh /Python-full-course

Comprehensive Python Programming Tutorials with a Focus on Artificial Intelligence and Machine Learning

rudikershaw /whichx

A small, no dependencies, Naive Bayes Text Classifier for JavaScript

Programming-from-A-to-Z /bayes-classifier-js

A JavaScript library for Bayesisan classification

ningchaoar /UnsupervisedTextClassification

基于关键词的无监督文本分类；Implementation for paper "Text Classification by Bootstrapping with Keywords, EM and Shrinkage" http://www.cs.cmu.edu/~knigam/papers/keywordcat-aclws99.pdf

thomasnield /bayes_user_input_prediction

Demonstration of using Naive Bayes to predict user inputs with Kotlin 1.2 std-lib

mattcunningham /naive-apl

Naive Bayesian Classifier written in APL

gsauthof /gonzofilter

a bayes classifying spam mail filter written in Go

CasperKristiansson /Elements-of-AI-Building-AI

All exercises for the course Elements of AI - Building AI

mikeroyal /Bayesian-Statistics-Guide

Bayesian Statistics Guide

FFMG /myoddweb.classifier

Microsoft Outlook automatic Spam Classifier, Classify emails as they arrive and move them to your own folders. Works on Office 356, Outlook 2016,2013 and 2010

Ralireza /ml-newbie

simple implementation of machine learning algorithm in pyhton

lesleyping /Machine-Learning

Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.