Clairvoyance is a web app that uses machine learning models to predict the win probability at different points in any specific match. You will be able to look any player up and analyze their games.
An Application for every citizen to be part of fighting wildlife trafficking with core motto of creating awareness following the principles of "Educate, Engage and Support"
An Artificial Intelligence Based Crop Diagnosis toolwhich take image of Leaf of crop as input and Predict the Disease with the Information on that disease and solution.
Instantly Review Instagram pictures & videos to determine their virality potential so that you can always pick the best pic forward!
Using machine learning to determine American Sign Language alphabet handshapes.
(HackSMU 2020 Submission)
OctoDash is designed to help businesses be more resilient in times of unexpected circumstances. This includes predicting customer data and providing inventory management based on future predictions.
Our idea is to generate shopping lists for users based on past purchases and when they took place. Users input past lists, data is stored in firebase, and a machine learning algorithm analyzes it.
HemoCount is an AI-based leukocytes (white blood cell) counting platform, which serves as an foundation for an automation and rapid diagnosis process for COVID-19 and other general blood test
A friend sends you an article with “mindopening facts”. CRINGE! Reveal:Unreal highlights all the fake-news and gives proof, turning the fake article in a “Biohazard Zone”.
Report Minorities aim to analyse poaching and illegal wildlife trafficking websites to generate reusable datas defining the offer, spotting the demand, and also identifying poached species.
In this tutorial, you will learn how to use PyTorch to implement IndoNLU IndoBERT models for sentiment analysis to guide you to be a good deep learning scientist. Have fun and enjoy the tutorial!
Deep Learning is Awesome, PyTorch is Great. Let us merge these concepts and begin your Deep Learning journey today!
Anda akan belajar cara menggunakan PyTorch untuk membuat model IndoNLU-IndoBERT dalam analisis sentimen untuk memandu Anda menjadi deep learning scientist yang baik. Selamat menikmati tutorialnya!
In this tutorial, we’ll show you how to use Pytorch to build a machine learning web application to classify whether a patient has Pneumonia or not from chest x-ray images.
Transfer Learning Model using RoBERTa/LSTM built on PyTorch, trained on the IMDb dataset hosted on Heroku using React and Flask.
Implementing a chatbot using a complex deep learning Neural Network in the easiest way possible even for someone who doesn't know a lot about deep learning with the help of Pytorch
App that compares a yoga student's pose with their instructor, and provides information about how they should correct their posture.
Sentiment analysis api using pyTorch and BERT, The model Identifies the next best action for the customer through real-time insights that incorporate machine learning tools.
You know how you want to start deep learning but you don't know how? We solve that, MineTorch. We teach deep learning.
A Security agent has seen thieves on a CCTV footage 1 hour after they left. With InstantReact, developers will learn how to empower these Cameras to see and report to Security in just seconds.
spotti takes the best of humans, and the best of software. spotty relies solely on human presence to reinforce honest customer practices, sanitation standards, and customer assistance
Leveraging SotA deep learning to combat brain cancer and abnormalities - just from a single MRI.
Predict how long the patient might be admitted in an hospital for proper resource allocation!