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Facebook Hackathon: AI

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  • Overview
  • Participants (2132)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Music Video Generator with Pytorch
Music Video Generator with Pytorch

Deep learning is used to generate styled video used for music videos. This generator will help musicians who simply needs a video for showcasing their music and now more songs can have videos!

Choo Wilson William Ardianto
6 0
Sentiments analysis and RNN with PyTorch
Sentiments analysis and RNN with PyTorch

To conduct sentiment analysis with LSTM networks and talk about the capabilities of RNNs, both with PyTorch

Dimitrios Tosidis
0 0
FaceTransfer
FaceTransfer

Animate any face the way you want

Bryan Chiang
2 0
RoadAI
RoadAI

RoadAI: Building the most intelligent co-driver. Your phone detects red traffic lights, stop signs, cars and pedestrians, warns you and makes your driving experience safer.

Konstantinos Barmpas
2 0
Soccer Match Predicting Model
Soccer Match Predicting Model

Model based on statistics of each player in the team, such as goals, goals in first period, goals in second period, home games, etc.

A L
0 0
Happiness Virus
Happiness Virus

Application making smile for the people who suffering from “Corona Blue”, depression caused by Coronavirus (COVID-19)

Yejin Yu Bumho Son
3 0
Concrete Crack Detection For Structural Audit
Concrete Crack Detection For Structural Audit

Automated Concrete Crack Detection For Structural Audit Using Drones To Avoid Disasters

Viraj Anchan
1 1
DiseaseFinder
DiseaseFinder

Our idea is to help farmers identify, track down diseases, and efficiently treat defected plants with the help of machine learning.

Samuel James Olalekan Elesin Emmanuel Adigun
3 0
The Sentinel AI
The Sentinel AI

A Blockchain based Decentralized AI ecosystem allowing any ML model to learn from local user data in a privacy-preserving manner, rewarding devices that help improve the accuracy of the global model.

Anudit Nagar
4 0
roboMUA
roboMUA

roboMUA (robo Make-Up Artist) seeks to Utilize the power of machine learning to make the make-up industry inclusive by helping people of different shades match their foundations confidently.

Emmanuel Acheampong
1 0
nautilus gift rebur
nautilus gift rebur

Gift recommendation

Krysti  Cain
1 0
Object Detection and Tracker
Object Detection and Tracker

At first we detect the background object from the user upload photo and video file then identify them and recommended to the same user with other similar objects which increase the Facebook Business.

pradip Pandit
2 0
Vital
Vital

Connait toi-toi même

Laurent vital
1 0
The Opposite Situation
The Opposite Situation

According to the wars in the history of the world, with the determination of the races fighting each other and the result from this, by making a visual promotion; face harmony.

Mehmet Usta
1 0
Real time sign language recognition system
Real time sign language recognition system

A system that detects and recognizes sign language and converts it to speech.

Julia Jose
2 0
Arabic poem Generator
Arabic poem Generator

using RNN-character generator trained on arabic poems to generate new ones

Ahmed Abdel-aal
1 0
Dash cam accident detection
Dash cam accident detection

The main idea of this project is to detect road accident using deep learning with pytorch as deep learning framework

Manoj Pawar SJ Manjunatha Inti
2 0
LocAtE
LocAtE

Location-based Attention Exhaustion to improve upon StyleGAN2 using newly developed attention mechanisms, a hypernetwork and a revolutionary activation function. TL;DR: StyleGAN3

Lucas Nestler
0 0
ObjectCut
ObjectCut

Crop an object of an image typing its name automagically

Albert Suarez Adrià Cabeza
8 0
search for lost people
search for lost people

Application that is used to search for lost people and get to know people through artificial intelligence technology the search process is done using photos or videos of Facebook posters

Ahmed Khattab
1 0
Face Sickness Detection
Face Sickness Detection

We humans are seamlessly able to detect someones health status from their face.We could use machine learning algorithms to spot human health status from there face with a great order of accuracy

collince Becky Patrick Oginga
3 0
AM Shining pro
AM Shining pro

helping people

Adol Mugisho
0 0
Twitgov
Twitgov

analyze the data of the Accounts users of twitter , whith some cloud services.

David  Lechuga huerta
2 0
Viewer
Viewer

Viral news

Syed Muhd Izuan Syed Ali Ridzak
1 0

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