AI Rank
中文
← Open Source
WillKoehrsen

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets.

Model DevelopmentClassical MLJupyter Notebook
Open on GitHub
Momentum
+0stars in 24 hours0.0%
2.23k
Stars
760
Forks
+0
This week
7
Contributors
Created 2018-06-20 · Updated 2026-10-06 · #8838 today
Top developers
WillKoehrsenclappisdarigovresearch

WillKoehrsen/feature-selector is ranked 8,838 with 2,228 stars.

Same-category comparison

WillKoehrsen/feature-selector is ranked 8,838 among these 8 peers; XLabs-AI/x-flux is ranked 8,839.

Same-category comparison
NameRankMetrics
lonePatient/BERT-NER-Pytorch8,827
Language:
Python
Stars:
2,236
Forks:
432
Description:
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span).
machrisaa/tensorflow-vgg8,828
Language:
Python
Stars:
2,236
Forks:
1,049
Description:
VGG19 and VGG16 on Tensorflow.
ahmedfgad/GeneticAlgorithmPython8,832
Language:
Python
Stars:
2,232
Forks:
500
Description:
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
thuml/iTransformer8,833
Language:
Python
Stars:
2,231
Forks:
374
Description:
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight).
XLabs-AI/x-flux8,839
Language:
Python
Stars:
2,228
Forks:
156
Zeta36/chess-alpha-zero8,840
Language:
Jupyter Notebook
Stars:
2,228
Forks:
471
Description:
Chess reinforcement learning by AlphaGo Zero methods.
antirez/neural-redis8,844
Language:
C
Stars:
2,227
Forks:
100
Description:
Neural networks module for Redis.
unrealcv/unrealcv8,846
Language:
Python
Stars:
2,225
Forks:
465
Description:
UnrealCV: Connecting Computer Vision to Unreal Engine.
Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryModel Development
SubcategoryClassical ML
Stars2,228
Forks760
Contributors7
Created date2018-06-20
Updated date2026-10-06
Stars in 1 day0
Stars in 7 days0
Rank8,838
Previous rank8,901
Rank change63
7-day stars rank12,103
Previous 7-day stars rank12,162
7-day stars rank change59
Total stars rank5,816
Previous total stars rank5,814
Total stars rank change-2
CountryUSA
README summary

Feature Selector: Simple Feature Selection in Python Feature selector is a tool for dimensionality reduction of machine learning datasets. Methods There are five methods used to identify features to remove: 1. Low Importance Features Usage Refer to the Feature Selector Usage notebook for how to use Visualizations The also includes a number of visualization methods to inspect characteristics of a dataset. __Correlation Heatmap__ __Most Important Features__ Requires: Contact Any questions can be directed to wjk68@case.

Frequently asked questions

How many stars and forks are recorded?

WillKoehrsen/feature-selector has 2,228 stars and 760 forks.

What is the repository rank?

WillKoehrsen/feature-selector is ranked 8,838.

What language and category are recorded?

WillKoehrsen/feature-selector has 2,228 stars, uses Jupyter Notebook and belongs to Model Development.

Which repository is closest in rank?

WillKoehrsen/feature-selector is compared with XLabs-AI/x-flux, ranked 8,839 with 2,228 stars.

README

Feature Selector: Simple Feature Selection in Python

Feature selector is a tool for dimensionality reduction of machine learning datasets.

Methods

There are five methods used to identify features to remove:

  1. Missing Values
  2. Single Unique Values
  3. Collinear Features
  4. Zero Importance Features
  5. Low Importance Features

Usage

Refer to the Feature Selector Usage notebook for how to use

Visualizations

The FeatureSelector also includes a number of visualization methods to inspect characteristics of a dataset.

Correlation Heatmap

Most Important Features

Requires:

python==3.6+
lightgbm==2.1.1
matplotlib==2.1.2
seaborn==0.8.1
numpy==1.22.0
pandas==0.23.1
scikit-learn==0.19.1

Contact

Any questions can be directed to wjk68@case.edu!

Nearby in the ranking
Similar items