tensorflow/decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Impress your boss with interactive Decision Tree visualization
Quick read
Latest capture 2026-09-19 03:03
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
1 path
Agent instructions and tool configuration found in this repository.
Agent instructions
42 observed captures since 2026-06-02. Observed captures are shown by default.
Stars from first capture +155
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Tree detection from aerial imagery in Python
:deciduous_tree: probably the best abstract model/admin for your tree based stuff.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
ID3-based implementation of the ML Decision Tree algorithm
An intuitive library to add plotting functionality to scikit-learn objects.