Updated 6 months ago
proglearn
NeuroData's package for exploring and using progressive learning algorithms
Updated 5 months ago
https://github.com/csinva/disentangled-attribution-curves
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Updated 5 months ago
CancerGram
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
Updated 5 months ago
https://github.com/cjabradshaw/random-forests-for-predicting-predator-prey-interactions-in-terrestrial-vertebrates
R code for "Predicting predator-prey interactions in terrestrial endotherms using random forest"
Updated 6 months ago
df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks