State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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AURORA STK 3.6.9 O começo de uma nova era em i. A PÓS GEMINI E CHATGPT. #1406
module.exports = createAudioModel;
[26/6 14:39] h: import createNLPModel from '../../models/nlpModel';
export default async (req, res) => {
const model = createNLPModel();
// Adicione seu código de treinamento e predição aqui
res.status(200).json({ message: 'NLP Model endpoint' });
};
[26/6 14:39] h: import createVisionModel from '../../models/visionModel';
export default async (req, res) => {
const model = createVisionModel();
// Adicione seu código de treinamento e predição aqui
res.status(200).json({ message: 'Vision Model endpoint' });
};
[26/6 14:42] h: import Link from 'next/link';
[26/6 14:38] h: aurora-ia ├── components ├── models │ ├── nlpModel.js │ ├── visionModel.js │ └── audioModel.js ├── pages │ ├── api │ │ ├── nlp.js │ │ ├── vision.js │ │ └── audio.js │ ├── index.js │ ├── nlp.js │ ├── vision.js │ └── audio.js ├── public ├── styles ├── Dockerfile ├── package.json └── README.md [26/6 14:38] h: { "name": "aurora-ia", "version": "1.0.0", "scripts": { "dev": "next dev", "build": "next build", "start": "next start" }, "dependencies": { "express": "^4.17.1", "next": "latest", "react": "latest", "react-dom": "latest", "@tensorflow/tfjs": "latest", "@tensorflow/tfjs-node": "latest" } } [26/6 14:38] h: FROM node:14
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD ["npm", "run", "dev"] [26/6 14:38] h: const tf = require('@tensorflow/tfjs-node');
const createNLPModel = () => { const model = tf.sequential(); model.add(tf.layers.embedding({ inputDim: 10000, outputDim: 64 })); model.add(tf.layers.bidirectional({ layer: tf.layers.lstm({ units: 64 }) })); model.add(tf.layers.dense({ units: 64, activation: 'relu' })); model.add(tf.layers.dense({ units: 1 }));
model.compile({ loss: 'binaryCrossentropy', optimizer: 'adam', metrics: ['accuracy'] }); return model; };
module.exports = createNLPModel; [26/6 14:39] h: const tf = require('@tensorflow/tfjs-node');
const createAudioModel = () => { const model = tf.sequential(); model.add(tf.layers.dense({ inputShape: [20], units: 64, activation: 'relu' })); model.add(tf.layers.dense({ units: 64, activation: 'relu' })); model.add(tf.layers.dense({ units: 1 }));
model.compile({ loss: 'meanSquaredError', optimizer: 'adam' }); return model; };
module.exports = createAudioModel; [26/6 14:39] h: import createNLPModel from '../../models/nlpModel';
export default async (req, res) => { const model = createNLPModel(); // Adicione seu código de treinamento e predição aqui res.status(200).json({ message: 'NLP Model endpoint' }); }; [26/6 14:39] h: import createVisionModel from '../../models/visionModel';
export default async (req, res) => { const model = createVisionModel(); // Adicione seu código de treinamento e predição aqui res.status(200).json({ message: 'Vision Model endpoint' }); }; [26/6 14:42] h: import Link from 'next/link';
const Home = () => (
Welcome to AURORA I.A 3.6.9
);
export default Home; [26/6 14:42] h: const NLP = () => (
NLP Module
Integrate NLP functionalities here.
);
export default NLP; [26/6 14:43] h: const Vision = () => (
Vision Module
Integrate Vision functionalities here.
);
export default Vision; [26/6 14:43] h: const Audio = () => (
Audio Module
Integrate Audio functionalities here.
);
export default Audio;