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E.Coli is dangerous and in Chicago beaches.. tag @ChicagoBeachBot to check if your beach is safe!
Moody: a mood and activity tracking app
Encrypt Passwords and Documents in Art
Preprocess selected classical music and train a GAN to attempt creation and discrimination of the GAN based on significant characteristics learned from a generated spectrogram waveform.
Unleash the power of your hand and automate anything
Automated task/test framework for differentiable software.
To help people create and automate quality social media post to bring more traffic and awareness to their brand. Beside, it also a machine to help people think about the content with image or text.
Making the world a better place one posture at a time
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.
Low cost solution to detect pneumothorax using raspberry pi for remote areas where there are no radiologist.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
We will create an end-to-end Deep learning solution for Chest X-ray diagnosis. It will be a cost-effective solution for rural population with inadequate access to diagnostic imaging specialists.
A Python library for recommender system. RecLib makes it easy to design and evaluate deep learning models for recommender system, along with the infrastructure to easily run them in the cloud.
4x faster pinned CPU -> GPU data transfer than Pytorch pinned CPU tensors, and 110x faster GPU -> CPU transfer. Augment parameter size by hosting on CPU. Use non sparse optimizers for sparse training
1. torchdata - Implement (and extend) tensorflow.data.Dataset with PyTorch's torch.utils.data.Dataset. 2.torchfunc - improve performance, analyse, plot and make daily life of DL dev easier.
Make images protect privacy and comply with the GDPR.
tagline here
Detecting plant diseases using neural network
Using AI techniques to build a national building inventory
Our system will only take Geographical Solution of a Building and give building's height, Number of Floors, Window locations, Number of Windows and Window-Wall ratio using Machine Learning Solutions
Insect pests in climate change context
Plant Disease Recognition and Localization
Submission for the Climate Change AI Hackathon 2019 using the Extreme Weather dataset
We want to show the world how changes to their climate will affect them in their day-to-day life: in terms of risks in driving through their local neighborhoods
