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Ce tutoriel vous permettra d'apprendre comment utiliser pytorch pour creer un reseau de neurones qui predira si un cancer est Benign ou Malignant.
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.
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.
This project aims to give a first step to beginners wishing to use the PyTorch framework.
App that compares a yoga student's pose with their instructor, and provides information about how they should correct their posture.
Using LSTMs and facial features to determine if someone is lying
An exploration in using NLP to improve the abilities of bots to auto-moderate text in a Discord server.
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!
Exploring deep learning and convolutional neural networks to train a style transfer network
Transfer Learning Model using RoBERTa/LSTM built on PyTorch, trained on the IMDb dataset hosted on Heroku using React and Flask.
You know how you want to start deep learning but you don't know how? We solve that, MineTorch. We teach deep learning.
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
We will learn how fast we can switch to GPU or TPU distributed deep learning training, without writing and tedious boilerplate code and simply just changing ONE LINE OF CODE.
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
CleanOut is an app built to help communities clean their neighborhood by letting users report trash by uploading (geotagged) image locations.
A image recognition AI, that has the best accuracy so far, based on the studies.
PCA aids in identification of important features of data samples. We perform PCA on image samples by retaining essential features by using Pytorch's efficient pca_lowrank function.
Signal processing and ML to generate novel jazz solos over given audio files.
Post-Processing Algorithm for Bias Reduction in Big Data Analytics
There's a Game for Everyone
Image classification of different crop diseases using PyTorch.
This tutorial explains step by step the procedure to follow to build an artificial intelligence that identifies whether or not a person is wearing his face mask.
An Efficient Face Mask Detection Project using Pytorch
