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Building neural network models to classify images of clothing and IMDB movie reviews using Keras, a high-level API to build and train models in TensorFlow.
A Battlesnake server built with personality and perseverance
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!
Ce tutoriel vous permettra d'apprendre comment utiliser pytorch pour creer un reseau de neurones qui predira si un cancer est Benign ou Malignant.
This report provides an analysis and visualizations regarding the correlation between geographic, demographic, social, and political trends and COVID-19 cases and deaths.
An application which recognizes gender using the extracted face which is obtained by cascading neural networks and the output of the same is fed into our custom vgg16 model to get the prediction
WaqiBot is a social justice warrior that fights Islamophobia in realtime in Discord servers utilizing machine learning. It also combats Islamic misconceptions by teaching users about the Qu'ran.
Quick and easy way to tell if your car is veering out of a lane, no need for a Tesla.
Integrating fashion and computing
An election forecasting model that runs simulations based on current polling data and factors in historical polling errors from elections since 1968.
Ever get tired of getting bad news? Even the weather's depressing? With Fairweather Friend, you'll only get weather updates if our ML prediction believes you'll enjoy the forecast.
A social media platform for sharing food experiences (i.e., food blogging) and for getting restaurant recommendations based on your friend's experiences.
Understanding the connection between the police and community
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
Our app is built to reduce procrastination and improve time management, while also removing friction for scheduling social meetups.
Machine Learning in Medical Records opens the possibility to use all Electronic Health Records and eliminate the chances of misdiagnosis, most common mortality rates after cancer.
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.
Built a multi-threaded web crawler to scrape data related to products of different categories and implemented a recommendation system for the products.
A search city tool for choosing the best living cities.
We built a search engine and a recommender system for data science workshops. With a simple query, we can find the best workshops that suit your need!
Want to find the best US city to live in?
Find the city of your dreams now that you can stay anywhere working remote!
Our idea is to develop an interactive dashboard which uses DS and NLP for team finding and workshop recommendations.
