tensorflow/decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
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.
:deciduous_tree: probably the best abstract model/admin for your tree based stuff.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Visualize and compare datasets, target values and associations, with one line of code.
1 capture since 2026-06-02
pyproject.toml
· python · 6 dependencies
requirements.txt
· python · 4 dependencies
setup.py
· python · 0 dependencies