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audiohealth

Bee colony vitality using audio analysis. Applies machine learning algorithms in C++ from the OSBH project.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dmitdatasurvey

data use and skills survey for CA Water Boards

do_analysis

ebm_audio_classification

Deep learning and standard machine learning methods are developed and compared in classfying audio samples from microphones deployed above Langstroth beehives' landing pads. We show, through empirical evidence, that convolutional neural networks can successfully classify raw audio samples and perform on par with standard machine learning methods.

hwptool_poc

Proof of concept adapting Healthy Watersheds Partnership assessment published in 2014

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!