Lior Ben-David LiorB-D
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| copyWeights() { | |
| // Turn weights from Tensorformat to array format | |
| const weights = this.model.getWeights(); // Pull weights | |
| const weightCopies = []; | |
| weights.forEach((wLayer) => { | |
| let values = wLayer.dataSync(); // turn that layer from Tensor into array | |
| weightCopies.push(values); | |
| }); |
LiorB-D
/ index.html
Created
July 15, 2022 10:51
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| function endGen() { | |
| let totalFitness = 0 | |
| bestOfGen = 0 | |
| // Calculate total fitness and find highest performing car | |
| cars.forEach((car, ind) => { | |
| car.dead = true | |
| totalFitness += car.fitness | |
| if(car.fitness > bestOfGen) {bestOfGen = car.fitness} | |
| }) |
LiorB-D
/ index.html
Created
July 15, 2022 10:49
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| function selectRandParent(tFit) { | |
| let randVal = tFit * random() // Random value between (0, tFit) | |
| let count = 0 // Cumulitive Fitness | |
| for(let i = 0; i < cars.length; i++) { | |
| count += cars[i].fitness | |
| if(randVal <= count) { | |
| return i | |
| } | |
| } |
LiorB-D
/ index.html
Created
July 15, 2022 10:39
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| cars.forEach((car) => { | |
| //Draw car | |
| //Draw Wheels | |
| fill("black"); | |
| strokeWeight(0); | |
| ellipse( | |
| car.x + (carDi / 2) * cos(car.angle + PI / 4), | |
| car.y + (carDi / 2) * sin(car.angle + PI / 4), | |
| carDi / 2.5 |
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| setupModel() { | |
| // Create a sequential neural network | |
| this.model = tf.sequential(); | |
| let hidden1 = tf.layers.dense({ | |
| units: 8, | |
| activation: "relu", | |
| inputDim: 5, | |
| }); | |
| let outputLayer = tf.layers.dense({ | |
| units: 4, |
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| class Car { | |
| constructor(outerDi, innerDi, screenHt, screenWd, carDi, obsts) { | |
| this.x = | |
| 0.5 * (screenWd - (innerDi + outerDi) / 2) + round(random() * 80) - 40; // Slight variation in starting x | |
| this.y = screenHt / 2 - 5; // Right above the starting line | |
| this.angle = -PI / 2; // Facing upward | |
| //Dimensions for later usage | |
| this.carDi = carDi; |
LiorB-D
/ index.html
Last active
July 15, 2022 10:22
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| <head> | |
| <!-- Load in Tensorflow, P5, and our Car Class--> | |
| <script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script> | |
| <script | |
| src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.1.9/p5.min.js" | |
| integrity="sha512-WIklPM6qPCIp6d3fSSr90j+1unQHUOoWDS4sdTiR8gxUTnyZ8S2Mr8e10sKKJ/bhJgpAa/qG068RDkg6fIlNFA==" | |
| crossorigin="anonymous" | |
| ></script> | |
| <script src="car.js"></script> |
LiorB-D
/ RasaChatWidget
Created
July 12, 2022 11:36
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| <div id="rasa-chat-widget" data-websocket-url="https://your-rasa-url-here/"></div> | |
| <script src="https://unpkg.com/@rasahq/rasa-chat" type="application/javascript"></script> |
LiorB-D
/ askui-test.test.ts
Created
July 12, 2022 10:09
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| import { aui } from './helper/jest.setup'; | |
| describe('jest with askui', () => { | |
| it('should click on text', async () => { | |
| await aui | |
| .click() | |
| .text() | |
| .exec(); | |
| }); | |
| }); |
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| import speech_recognition as sr | |
| import pyttsx3 | |
| import random | |
| from datetime import datetime | |
| import os | |
| engine = pyttsx3.init() | |
| voices = engine.getProperty('voices') | |
| engine.setProperty('voice', voices[0].id) |