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census-regions Public
Forked from cphalpert/census-regionsUS Census Bureau Regions and Divisions by State
UpdatedApr 12, 2020 -
Convolutional-Neural-Network Public
Convnet and autoencoder used to estimate age from fish scales
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cv-tricks.com Public
Forked from legolas123/cv-tricks.comRepository for all the tutorials and codes shared at cv-tricks.com
Python MIT License UpdatedFeb 7, 2020 -
GenderID-ConvNet Public
Convolutional Neural Network used to predict gender from human headshots
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keras-applications Public
Forked from keras-team/keras-applicationsReference implementations of popular deep learning models.
Python Other UpdatedMar 14, 2019 -
Keras-Machine-Learning-Deep-Learning-Tutorial Public
Forked from prashant0598/Keras-Machine-Learning-Deep-Learning-TutorialJupyter Notebook UpdatedJun 2, 2018 -
models Public
Forked from tensorflow/modelsModels and examples built with TensorFlow
Python Apache License 2.0 UpdatedMar 26, 2019 -
njermain.github.io Public
Forked from barryclark/jekyll-nowBuild a Jekyll blog in minutes, without touching the command line.
CSS MIT License UpdatedMar 27, 2019 -
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pylift Public
Forked from wayfair/pyliftUplift modeling package.
Python BSD 2-Clause "Simplified" License UpdatedDec 31, 2019 -
R-Shiny-Apps Public
Dashboard interface constructed to convey concepts related to population dynamics
R UpdatedFeb 27, 2019 -
I used multivariate analyses and a random forest model to classify the origins of a widely dispersed fish species based on the shape of their ear bones.
R UpdatedMar 13, 2019 -
I used a random forest classifier to predict the origin of a mackerel (fish) species from samples taken throughout the Atlantic Ocean. Predictor features describe the shape of ear bones in each fish.
Python UpdatedMay 24, 2019 -
scikit-survival Public
Forked from sebp/scikit-survivalSurvival analysis built on top of scikit-learn
Python GNU General Public License v3.0 UpdatedSep 17, 2021 -
TMB-Predator-Prey-Model Public
I used Template Model Builder (compiled using C++) to model predator prey relationships using four candidate models.
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