naive

There are 74 repositories under naive topic.

  • jekip/naive-ui-admin

    Naive Ui Admin 是一款基于 Vue3、Vite2 和 TypeScript 的先进中后台解决方案，集成了前沿的前端技术栈和典型业务模型。它拥有二次封装组件、动态菜单、权限校验、粒子化权限控制等核心功能，旨在帮助企业快速构建高质量的中后台项目。无论在新技术运用或业务实践层面，都能为您提供有力支持，并将持续更新，以满足您不断变化的需求

    Language:Vue4.7k46187856

  • rocboss/paopao-ce

    🔥An artistic "twitter like" community built on gin+zinc+vue+ts 清新文艺微社区

    Language:Go3.8k390548

  • Nixtla/statsforecast

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Language:Python3.6k36307248

  • zfl9/ss-tproxy

    搭建 SS/SSR/V2Ray/Trojan/Socks5 透明代理的 Shell 脚本

    Language:Shell2.2k67247435

  • TheyCallMeSecond/config-examples

    Hysteria2, TUIC, Reality, ShadowTLS, WebSocket, gRPC, Naive and Warp installer script + client side config examples

    Language:Shell26842953

  • surmon-china/naivebayes

    NaiveBayes classifier for JavaScript

    Language:JavaScript141648

  • niiknow/bayes

    naive bayes in php

    Language:PHP655413

  • alexhallam/tablespoon

    🥄✨Time-series Benchmark methods that are Simple and Probabilistic

    Language:Python40471

  • gbroques/naive-bayes

    A Python implementation of Naive Bayes from scratch.

    Language:Python364027

  • terrimporter/CO1Classifier

    This repository contains CO1 reference sets that can be used with the RDP Classifier, BLAST, or SINTAX to classify COI metabarcode sequences.

    29654

  • meower1/Supernova

    Multi-protocol script mainly for setting up udp based protocols

    Language:Shell28214

  • pdsuwwz/vite-naive-template

    🏄‍♂️ 一个简洁的 NaiveUI + Vite 5 + Vue3 + TSX + Pinia + UnoCSS + Unplugin + ESLint(v9) + Vitest 的 B 端后台 Admin 原型模板框架, 开箱即用, 内置模块化管理、Commit 规范检测 Husky + lint-staged 、路由鉴权、暗黑模式、Unplugin Auto 自动导入, 适合快速搭建和二次开发实际业务场景, 持续更新最新技术栈 🎊

    Language:Vue22204

  • mida-project/eye-tracker-naive

    :eyes: Tobii Eye Tracker 4C Naïve Solution

    18541

  • Bruce-Lee-LY/matrix_multiply

    Several common methods of matrix multiplication are implemented on CPU and Nvidia GPU using C++11 and CUDA.

    Language:C++13302

  • Mikasa33/cool-admin-naive

    cool-admin for Naive UI

    Language:TypeScript8201

  • sleeyax/cronet-binaries

    Cross-platform binaries for cronet (Chromium Network Stack)

    Language:C++7134

  • victorqribeiro/naiveCorners

    A naive algorithm to identify corners on a image

    Language:Python7101

  • ibodumas/naivebayes_mnist

    I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.

    Language:Jupyter Notebook6105

  • rootslab/nprime

    Nprime, a simple and fast naive module for testing/calculating primes on the fly.

    Language:JavaScript5200

  • Subrata019/Analysis-of-NSL-KDD-dataset-using-NaiveBayes-DecisionTree-RandomForest

    Analysis-of-NSL-KDD-dataset-using-NaiveBayes--DecisionTree--RandomForest

    Language:Python5012

  • pdsuwwz/vue3-tab-demo

    🗂️ 一个 Vue3 的多 Tabs 标签页切换选项卡的演示模板, 🔨支持路由表自动生成多页签、页面缓存(KeepAlive)和标签页缓存管理. 基于 Vite 5 + Pinia 2 + TypeScript + Naive UI + Vue Router 4 + UnoCSS + Unplugin + ESLint(v9) + Vitest, 开箱即用的解决方案, 快速开发中后台前端，可用于学习和参考

    Language:Vue4101

  • ViRb3/naivecmp

    Compare directories by fuzzy-matching file attributes without checking contents

    Language:Go4301

  • pdsuwwz/awesome-vite

    😎 自己写的一些 Awesome for Vite 5 / Vue 3 / Webpack 5 Apps written by myself 💯

    330

  • beatrizalbiero/chatbot

    I've built this chatbot from scratch. To build this, I've chosen three types of classification models: Naive Bayes, SVM and Logistic Regression.

    Language:Jupyter Notebook2102

  • rodolfomedeiros/heart-disease-prediction

    Using Machine Learning to heart disease prediction with Python

    Language:Jupyter Notebook2100

  • AmirAbaskohi/NLP-Projects

    This is a repository for NLP course projects by deeplearning.ai on Coursera.

    Language:HTML110

  • anandsharma26/Information-Retrieval

    Created various Information Retrival Algorithms from scratch in python

    Language:Jupyter Notebook1100

  • Beats0/js-practice

    Learning JavaScript

    Language:JavaScript1101

  • cwlowder/lobal

    Python load balancer/microservice experiment

    Language:Python1100

  • nickbiso/Travelling-Salesman-TSP

    Solving Travelling Salesman / Salesperson ( TSP ) - using different algorithms such as Naive ( Brute Force ), Greedy and Integer Programming using Pulp

    Language:Jupyter Notebook1200

  • rainmaker29/Sales-Win-Loss-prediction

    Predictive analysis of the classical 'Sales Win/Loss' dataset

    Language:Jupyter Notebook1102

  • romanyn36/DNA-searching-algorithms-pyqt6

    simple desktop app that apply some of DNA searching algorithms, with easy use desktop GUI using Pyqt6 lib in python.

    Language:Python1100

  • sakshibabbar2019/Classification-suite-and-Methods-for-Performance-Evaluation

    Predictive problems requires three main challenges to overcome. First, choosing the right classification algorithm. Second, building a robust building and testing environment for algorithm to learn and thirdly, picking the appropriate performance metric for evaluation. Here it is explained how these challenges can be addressed.

    Language:Jupyter Notebook1100

  • stars-rain/mall-pro

    基于Vue3+TypeScript+Naive，仿小米商城

    Language:Vue1100

  • Vivraan/godot-linalg

    Linear Algebra library in GDScript for Godot Engine. Also available as C++ GDNative plugin!

    Language:C++1000

  • waweru-wanjiru/Twitter-sentiment-analysis

    Predicting what type of sentiments will be expressed depending on the type of tweet written and the location of the account. Find the best model to best predict the sentiments expressed over.Social media has become a huge part of our life. It connects people to the outer world. Social media provides a way to showcase our lives, discretely, conveniently, and on our own terms. People rely more on the posts and tweets shared on social networking sites like Twitter®, Facebook®, and Instagram®. It is anticipated that social media should guide people in getting correct and authentic information on Corona cases. There are various classification models used in machine learning. Depending on the features, accuracy, and MSE, a good model should be chosen, so it is easier to predict the sentiments that will be expressed before the tweet is written and posted

    Language:Jupyter Notebook1200