cagataycali / Lazy
Licence: mit
Lazy, AI chatbot service.
Stars: ✭ 141
Programming Languages
javascript
184084 projects - #8 most used programming language
Projects that are alternatives of or similar to Lazy
Deeppavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
Stars: ✭ 5,525 (+3818.44%)
Mutual labels: artificial-intelligence, ai, chatbot, nlp-machine-learning
Olivia
💁♀️Your new best friend powered by an artificial neural network
Stars: ✭ 3,114 (+2108.51%)
Mutual labels: artificial-intelligence, ai, chatbot
Chatbot
一个可以自己进行训练的中文聊天机器人, 根据自己的语料训练出自己想要的聊天机器人,可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。
Stars: ✭ 2,441 (+1631.21%)
Mutual labels: ai, chatbot, nlp-machine-learning
Rivescript Python
A RiveScript interpreter for Python. RiveScript is a scripting language for chatterbots.
Stars: ✭ 142 (+0.71%)
Mutual labels: artificial-intelligence, ai, chatbot
Intelligo
🤖 Chatbot Framework for Node.js.
Stars: ✭ 347 (+146.1%)
Mutual labels: artificial-intelligence, ai, chatbot
Rivescript Js
A RiveScript interpreter for JavaScript. RiveScript is a scripting language for chatterbots.
Stars: ✭ 350 (+148.23%)
Mutual labels: artificial-intelligence, ai, chatbot
Letslearnai.github.io
Lets Learn AI
Stars: ✭ 33 (-76.6%)
Mutual labels: artificial-intelligence, ai, nlp-machine-learning
Blurr
Data transformations for the ML era
Stars: ✭ 96 (-31.91%)
Mutual labels: artificial-intelligence, ai
Happy Transformer
A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models
Stars: ✭ 97 (-31.21%)
Mutual labels: artificial-intelligence, ai
Text predictor
Char-level RNN LSTM text generator📄.
Stars: ✭ 99 (-29.79%)
Mutual labels: artificial-intelligence, ai
Ai Chatbot Framework
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
Stars: ✭ 1,564 (+1009.22%)
Mutual labels: ai, chatbot
Emojiintelligence
Neural Network built in Apple Playground using Swift
Stars: ✭ 1,323 (+838.3%)
Mutual labels: artificial-intelligence, ai
Micromlp
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Stars: ✭ 92 (-34.75%)
Mutual labels: artificial-intelligence, ai
Helix theory
螺旋论(theory of helix)—— “熵减机理论(可用来构建AGI、复杂性系统等)”
Stars: ✭ 98 (-30.5%)
Mutual labels: artificial-intelligence, ai
Aif360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Stars: ✭ 1,312 (+830.5%)
Mutual labels: artificial-intelligence, ai
Owl Bt
owl-bt is editor for Behavior trees. It has been inspired by Unreal engine behavior trees in a way, that it supports special node items like decorators and services. This makes trees smaller and much more readable.
Stars: ✭ 112 (-20.57%)
Mutual labels: artificial-intelligence, ai
Ai Dl Enthusiasts Meetup
AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
Stars: ✭ 90 (-36.17%)
Mutual labels: artificial-intelligence, ai
Botonomous
A PHP Framework For Creating Autonomous Slack Bots
Stars: ✭ 109 (-22.7%)
Mutual labels: ai, chatbot
Image classifier
CNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-1.42%)
Mutual labels: artificial-intelligence, ai
Machine Learning Flappy Bird
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Stars: ✭ 1,683 (+1093.62%)
Mutual labels: artificial-intelligence, ai
Lazy,
AI chat bot service.
Lazy allows you create awesome chat bot with no longer know ai!
Just teach lazy 4 your phase case!
Let him answer you instead!
You can try in telegram already: Lets chat with @LazyAIBot, my Turkish friends already teached somethings like as greetings. If you want host on your own, go ahead do this!
Chat with lazy online in Turkish lazy
Node Usage
# Or npm install --save lazy.ai
$> yarn add lazy.ai
const Lazy = require('lazy.ai');
async function start() {
const lazy = new Lazy();
// Learn ..
await lazy.learn({phrase: 'hello', category: 'greetings'})
await lazy.learn({phrase: 'hi', category: 'greetings'})
await lazy.learn({phrase: 'Hello there!', category: 'greetings'})
// Maybe add action ..
await lazy.addAction({category: 'greetings', actions: 'http://localhost:3000/'})
// Or add usual response ..
await lazy.addResponse({category: 'greetings', response: 'Hi there!'})
// Query.
await lazy.query({phrase: "hello dude!"})
// Helpers..
await lazy.getResponses({category: 'greetings'})
await lazy.getCategories()
}
// Dont forget start your function :)
start();
Ruby Usage
# Or Gemfile --> gem 'lazy.ai', '~> 0.0.1'
$> gem install lazy.ai
require 'lazy.ai'
# Change with a valid lazy chatbot server url.
lazy = Lazy.new(host: "lazy.herokuapp.com")
puts lazy.learn(phrase: "hello", category: "greetings")
puts lazy.add_response(response: "Hello there", category: "greetings")
puts lazy.query(phrase: "hello dude!")
puts lazy.get_responses(category: "greetings")
puts lazy.get_categories()
puts lazy.save()
puts lazy.load()
Python Usage
# Or python setup.py install
$> pip install lazy-ai
import lazyai
# Change with a valid lazy chatbot server url.
lazy = lazyai.Lazy()
lazy.learn("hello", "greetings")
lazy.add_response("greetings", "Hello world!")
lazy.query("hello dude!")
lazy.get_responses("greetings")
lazy.get_categories()
lazy.save()
lazy.load()
Telegram Bot Usage
Learn something..
/learn hi - greeting
Add some greeting message..
/add greeting - Hello there!
/add greeting - Hello buddy!
Show categories
/categories
Show responses
/responses greeting
Just quiet
/quiet
Save trained output
/save
Load trained output
/load
Express HTTP Endpoint Usage
https://YOURAPPNAME.herokuapp.com/
BASE URL:Train sended data (phrase, category)
POST /learn
Forget trained data (phrase, category)
POST /forget
Add response in category (category, response)
POST /response
Add action in category (category, actions)
POST /action
Do query in trained data and response random response text.
POST /query
Get all trained categories (-)
GET /categories
Save trained data.
GET /save
Load already trained and saved data.
GET /load
Get responses order by category.
GET /responses/:category
Contributors
This project exists thanks to all the people who contribute. [Contribute].
Backers
Thank you to all our backers! 🙏 [Become a backer]
Sponsors
Support this project by becoming a sponsor. Your logo will show up here with a link to your website. [Become a sponsor]
License & Contributors
Special thanks for ruby client @Yengas
Special thanks for python client @ahmetkotan
MIT © cagataycali
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].