github Actively maintained

chasedehan/BoostARoota

A fast xgboost feature selection algorithm

1 awesome list

Quick read

Stars
232
Forks
36
Open issues
2
Commits
47

Activity and growth

Latest capture 2026-08-22 03:08

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
-2
Stored snapshots
8

Classification

Metadata

Language
Python
License
MIT
Default branch
master
Created
2017-08-23
First commit
2017-08-23
Last pushed
2026-06-30
GitHub updated
2026-06-30
Last synced
2026-08-22 03:08
Stack scanned
2026-08-22 03:08
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 -2

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.

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

9,051 stars
C++ 4 awesome lists

dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

28,620 stars
C++ 4 awesome lists

rodrigo-arenas/Sklearn-genetic-opt

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

388 stars
Python 2 awesome lists

PyPortfolio/PyPortfolioOpt

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

5,958 stars
Jupyter Notebook 1 awesome list

lightgbm-org/LightGBM

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.

18,656 stars
C++ 3 awesome lists