github Not archived

chasedehan/BoostARoota

A fast xgboost feature selection algorithm

1 awesome list

Quick read

Stars
231
Forks
36
Open issues
0
Commits
47

Activity and growth

Latest capture 2026-10-05 03:14

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
-3
Stored snapshots
9

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
2026-09-11
Last synced
2026-10-05 03:14
Stack scanned
2026-10-05 03:14
Archived
No

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.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

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

Stars from first capture -3

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.

9,099 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

28,740 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.

390 stars
Python 2 awesome lists

PyPortfolio/PyPortfolioOpt

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

6,060 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.

18,755 stars
C++ 3 awesome lists