EmoAR is a mobile AR app that aims to recognize facial expression in real time and to superimpose virtual content according to the recognized facial expression. We also created a web app (without AR).
Low cost solution to detect pneumothorax using raspberry pi for remote areas where there are no radiologist.
I propose to create a machine learning model that takes a picture of our face while we are on social media so it can better understand how we feel even when we don't engage with the platform.
Helps report suicidal tendencies using NLP sentiment analysis, and connects users with help.
A PyTorch Meta-Learning Framework for Researchers.
We obtained a Top-1 accuracy of 93.27% and Top-5 accuracy around 99.02% on the Food-101 dataset which outperforms current benchmark
Fast CPU -> GPU for Pytorch
Save viewing time and content search by filtering redundant content and compacting your video search results.
Empower children to use deep learning in their projects in a graphical and friendly way. Inspire children in programming. Teach basic concepts of DL training and inferencing interactively
We propose a model for optimal decision-making on arbitrary, complex modalities, with applications to healthcare, robotics, HCI, and general artificial intelligence.
Easily search videos based on semantic content without the need for manual labelling.
Open source library for computational neuroscience in Pytorch.