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 2026-08-03 04:40
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
41 observed captures since 2026-06-02. Observed captures are shown by default.
Stars from first capture +138
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.
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
A library of extension and helper modules for Python's data analysis and machine learning libraries.
:deciduous_tree: probably the best abstract model/admin for your tree based stuff.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.