A research project to investigate if is possible to predict blood glucose levels in realtime via retinal scans
facial landmarker with tf 2.0
Making AI and machine learning more accessible around the world
A collection of TensorFlow 2.0 tutorials and model implementations to help users get started with TF 2.0
Celery is hard, but green decisions don't have to be! We give businesses the data needed to make profitable & sustainable food!
Handwritten Digit Recognition On STM32F4 Microcontroller
Nearly infinite source of song lyrics
Using Convolutional Neural Networks To Predict Noise in Lab-Rat MRI Signals
Using TensorFlow to translate Sign Language.
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Predicting Air Quality with Smartphone Camera Images
Play a fun game using mobile device gestures to control your dragon!
Quick, Draw Game Nerual Netrowk implementation On Embedded System Based on STM32F4
A machine learning model to classify disease and healthy plants images.
Transportation Mode (WALKING, CAR, STILL, TRAIN and BUS) Detection by mobile sensors
Automated Concrete Crack Detection For Structural Audit Using Drones To Avoid Disasters
Lymphoma image classifier for Follicular lymphoma (FL), Chronic lymphocytic leukemia (CLL), Mantle Cell lymphoma
A Google Lens for Radiology Powered by Tensorflow 2.0
A python 3 package for generating N-body simulations, computing transit timing variations (TTV) and retrieving orbit parameters from TTV measurements within a Bayesian framework using machine learning
Using SMILES with TensorFlow 2.0 to assist in drug design
Hey, what's up! We found that a lot of designers they usually lack ideas and have little time to create a prototype, thus we use machine learning to quickly construct a prototype and save their time.
An open source library for deep learning end-to-end dialog systems and chatbots.
Deep Reinforcement Learning Framework + Algorithms
Skin lesions if not detected early can turn out to be deadly. Can we use deep learning to aid radiologists in quick skin cancer detection?
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