Expired medicines and how to avoid their financial losses
Fast CPU -> GPU for Pytorch
We train an autoencoder using the BOLD5000 dataset to get a transferable feature extractor, where we use the encoder to extract features and employ the decoder for an independent fMRI dataset
This assistant helps the people in many ways like remind you for your medicine, follow your command to contact anyone in your contact list.It also provide the facillity to learn everything from google
GANs(Generative Adversial network) are a large part of our lives today. From some of today's companies like NVIDIA, they all use GANs to generate some of there images to show to their users.
Endless AI-Generated Tees
Solar energy can be the savior of our, but not until this investment is more profitable. 15% of solar panels fail, that's catastrophic. Our project alerts operators before these panels are problems.
Care4u identifies through the camera how healthy is the food you are about to eat regarding your current health condition, keeps track of nutrients, fat, cholesterol and others of what you want to eat
I am contributing to development of framework which will work on document images and convert it into understandable format for dyslexics.
Service for recommendations of interesting places in the city based on profile analysis in instagram
Generate music with AI
Using computer vision for object detection and recognition find and collect tennis balls
Learning Chinese language can be a challenging task. How about we use CNN to help you learn and distinguish similar Chinese consonants? learning and practicing made easier!
French-English translations using PyTorch’s Transformer model and paper implementation of "Attention is All You Need”
An AI Personal Training App
Detecting ingredients in Thai menus
Use deep learning to detect skin anomalies by taking a photo of your skin with a smartphone in order to prevent future skin diseases.
Building a deep learning model to detect and classify the birds around the world
SynaNN, inspired by synapses research in neuroscience, shows special features and high performance to apply synapses and deep learning to implement image classification with MNIST dataset by Pytroch.
PyGlow is a Python package which attempts to implement Keras like API struture on PyTorch backend. It provides functionalities which supports information theoretic methods in deep learning.
Autoencoder trained on the BOLD5000 dataset
A book recommender for rare books, with 2829853 books in our system
Deep learning tool for automatic brain tumor segmentation