JulioRogers's Stars
jonalvarezz/platzi-lab-nodejs-auth
Laboratorio de Platzi: Node.js Autenticación
platzi/laboratorio-mydayapp-js
sierisimo/JavaSE-Functional-platzi
Codigo de ejemplos para el curso sobre programacion funcional de Platzi
platzi/curso-java-spring-security
platzi/curso-java-spring-data-jpa
edevars/platzi_market
Proyecto trabajado en el curso de Java Spring de Platzi. Nunca pares de aprender!
santiaguf/gatos_app
Antoinegtir/bereal-clone
Fully Functional clone of BeReal.
dalessandro07/alessandro_portfolio
Mi sitio web personal.
nestjs/awesome-nestjs
A curated list of awesome things related to NestJS 😎
paolojoaquinp/chatbot-telegram
hektorprofe/mispelis-backend
Repositorio de la API de un curso fallido sobre Django Rest Framework, ahora liberado.
hektorprofe/webplayground
Repositorio de la Web Playground del curso Django (revisado en la versión 4.0.2 con Python 3.10.2)
simonsanvil/openai-whatsapp-chatbot
A chatbot app that uses OpenAI's GPT and DALL-E to reply to incoming messages from WhatsApp and generate images
vjrahil/Face-Generator
Defined and trained a DCGAN model on a dataset of faces. The goal was to get a generator network to generate new images of fake human faces that look as realistic as possible.
aleju/face-generator
Generate human faces with neural networks
shivaverma/Face-Generator
Using GAN to generate human faces (Tensorflow).
TheBobbyliu/Human-Face-Generator
By applying a DCGAN and training it with unlabeled cartoon character pictures, we can build a robust generator for creating faces with random noise.
aws-samples/simple-websockets-chat-app
This SAM application provides the Lambda functions, DynamoDB table, and roles to allow you to build a simple chat application based on API Gateway's new WebSocket-based API feature.
firebase/codelab-friendlychat-web
The source for the Firebase codelab for building a cross-platform chat app
huytd/pomoday-v2
A keyboard only task management web app
dmallya93/Sociopedia-Twitter-Knowledge-Engine
Building a search engine to discovery web services specified using a natural language query that infers relationships using an ontology of Twitter data. Technologies used are NLTK, Python, Whoosh, Django and CMU Ark Tweet Parser. The fast information sharing on Twitter from millions of users all over the world leads to almost real-time reporting of events. It is extremely important for business and administrative decision makers to learn events popularity as quickly as possible, as it can buy extra precious time for them to make informed decisions. Therefore, we introduce the problem of predicting future popularity trend of events on microblogging platforms. Traditionally, trend prediction has been performed by using time series analysis of past popularity to forecast the future popularity changes.
nishi1612/Email-Spam-Classification-using-SVM
The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.
nishitpatel01/Fake_News_Detection
Fake News Detection in Python
agrawal-priyank/machine-learning-regression
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
lastnamearya/React-Travel-App
React.js - Weekend hackathon app 😁
lijinke666/react-music-player
[Stop the maintenance] :musical_note: Maybe the best beautiful HTML5 responsive player component for react :)
md-kawsar-ali/React-Quiz-App
Simple React JS Quiz Application
nguymin4/react-videocall
WebRTC-React App for Video Calling
agusdelva/social-media-dashboard
Social-media-dashboard hecho usando React.js y css