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#

feature-extraction

Here are 2,082 public repositories matching this topic...

tsfresh

Automatic extraction of relevant features from time series:

  • UpdatedAug 30, 2025
  • Jupyter Notebook

A PyTorch implementation of EfficientNet

  • UpdatedApr 8, 2022
  • Python

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  • UpdatedAug 22, 2025

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

  • UpdatedMay 10, 2023
  • Python

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

  • UpdatedSep 24, 2025
  • Scala
feature_engine

Feature engineering package with sklearn like functionality

  • UpdatedNov 5, 2025
  • Python

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : )

  • UpdatedNov 5, 2025
  • C++

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

  • UpdatedNov 5, 2025
  • C++

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

  • UpdatedSep 24, 2022
  • Jupyter Notebook

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support:https://discourse.slicer.org/c/community/radiomics

  • UpdatedOct 27, 2025
  • Jupyter Notebook

An intuitive library to extract features from time series.

  • UpdatedAug 28, 2025
  • Python

💬 SpeechPy - A Library for Speech Processing and Recognition:http://speechpy.readthedocs.io/en/latest/

  • UpdatedDec 15, 2024
  • Python

Highly comparative time-series analysis

  • UpdatedNov 5, 2025
  • MATLAB

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  • UpdatedJun 29, 2025
  • Jupyter Notebook
opensmile

The Munich Open-Source Large-Scale Multimedia Feature Extractor

  • UpdatedOct 27, 2025
  • C++

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