github Actively maintained

scikit-learn-contrib/boruta_py

Python implementations of the Boruta all-relevant feature selection method.

1 awesome list

Quick read

Stars
1,625
Forks
264
Open issues
48
Commits
105

Activity and growth

Latest capture 2026-08-24 03:04

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
0
Stored snapshots
8

Metadata

Language
Python
License
BSD-3-Clause
Default branch
master
Created
2016-01-30
First commit
2016-01-30
Last pushed
2025-11-13
GitHub updated
2026-08-12
Last synced
2026-08-24 03:04
Stack scanned
2026-08-24 03:04
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

8 observed captures since 2026-05-22. Observed captures are shown by default.

Stars from first capture 0

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

EpistasisLab/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

421 stars
Python 1 awesome list

PyPortfolio/PyPortfolioOpt

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

5,958 stars
Jupyter Notebook 1 awesome list

optuna/optuna

A hyperparameter optimization framework

14,593 stars
Python 3 awesome lists

tslearn-team/tslearn

The machine learning toolkit for time series analysis in Python

3,170 stars
Python 1 awesome list