Duane Edgington (duane-edgington)

duane-edgington

Geek Repo

Company:MBARI

Location:Moss Landing, CA USA

Home Page:http://www.mbari.org

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Duane Edgington's repositories

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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avedac-mbarivision

Automated Visual Event Detection and Classification

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bio-ai

command line tool to run models and manage data for the MBARI BioDiversity project.

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darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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dataturbine

Open Source DataTurbine streaming data middleware.

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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Detectron

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

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DeViSE-zero-shot-classification

DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker

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FishAnnotator

Fish Detector Project

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Getting-Started-with-TensorFlow

Getting Started with TensorFlow, published by Packt

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LOUPE

Tensorflow toolbox implementing several learnable pooling architecture

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mac-apps

Awesome Open Source Mac Apps

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n-plus-one-fish

Winning models for the N+1 Fish, N+2 Fish competition.

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stam-retinanet

RetinaNet model for detecting species in StationM images

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stoqs

STOQS (Spatial Temporal Oceanographic Query System) is a geospatial database software package designed to provide efficient access to in situ oceanographic measurement data.

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tensorflow-workshop

This repo contains materials for use in a TensorFlow workshop.

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TimeSformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

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VIAME

VIAME - Video and Image Analytics for Marine Environments

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WaterGAN

Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"

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Youtube-8M-WILLOW

Kaggle Youtube 8M WILLOW approach

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