GitHub / shawnhan108 / nature-notebook
A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shawnhan108%2Fnature-notebook
PURL: pkg:github/shawnhan108/nature-notebook
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 124 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 3 years ago
Pushed at: about 5 years ago
Last synced at: over 2 years ago
Topics: bidirectional-lstm, classification, cnn, cyclegan, data-visualization, extra-trees-classifier, feature-selection, gan, image-classification, inception-resnet-v2, keras, lstm, random-forest, rnn, scikit-learn, seaborn, svm-classifier, tensorflow2, theano, vgg16